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A Combined Simulated Annealing and Tabu Search Strategy to Solve a Network Design Problem with Two Classes of Users
Copyright Warning & Restrictions The copyright law of the United States (Title 17, United States Code) governs the making of photocopies or other reproductions of copyrighted material. Under certain conditions specified in the law, libraries and archives are authorized to furnish a photocopy or other reproduction. One of these specified conditions is that the photocopy or reproduction is not to be “used for any purpose other than private study, scholarship, or research.” If a, user makes a request for, or later uses, a photocopy or reproduction for purposes in excess of “fair use” that user may be liable for copyright infringement, This institution reserves the right to refuse to accept a copying order if, in its judgment, fulfillment of the order would involve violation of copyright law. Please Note: The author retains the copyright while the New Jersey Institute of Technology reserves the right to distribute this thesis or dissertation Printing note: If you do not wish to print this page, then select “Pages from: first page # to: last page #” on the print dialog screen The Van Houten library has removed some of the personal information and all signatures from the approval page and biographical sketches of theses and dissertations in order to protect the identity of NJIT graduates and faculty. ASAC A COMIE SIMUAE AEAIG A AU SEAC SAEGY O SOE A EWOK ESIG OEM WI WO CASSES O USES y Qieg e g A methodology to solve a transportation network design problem (TCNDP) with two classes of users (passenger cars and trucks) is developed. Given an existing highway system, with a capital investment budget constraint, the methodology selects the best links to be expanded by an extra lane by considering one of three types of traffic operations: exclusive for passenger cars, exclusive for trucks, and for both passenger cars and trucks such that the network total user equilibrium (UE) travel time is minimized. -
Automotive Sector in Tees Valley
Invest in Tees Valley A place to grow your automotive business Invest in Tees Valley Recent successes include: Tees Valley and the North East region has April 2014 everything it needs to sustain, grow and Nifco opens new £12 million manufacturing facility and Powertrain and R&D plant develop businesses in the automotive industry. You just need to look around to June 2014 see who is already here to see the success Darchem opens new £8 million thermal of this growing sector. insulation manufacturing facility With government backed funding, support agencies September 2014 such as Tees Valley Unlimited, and a wealth of ElringKlinger opens new £10 million facility engineering skills and expertise, Tees Valley is home to some of the best and most productive facilities in the UK. The area is innovative and forward thinking, June 2015 Nifco announces plans for a 3rd factory, helping it to maintain its position at the leading edge boosting staff numbers to 800 of developments in this sector. Tees Valley holds a number of competitive advantages July 2015 which have helped attract £1.3 billion of capital Cummins’ Low emission bus engine production investment since 2011. switches from China back to Darlington Why Tees Valley should be your next move Manufacturing skills base around half that of major cities and a quarter of The heritage and expertise of the manufacturing those in London and the South East. and engineering sector in Tees Valley is world renowned and continues to thrive and innovate Access to international markets Major engineering companies in Tees Valley export Skilled and affordable workforce their products around the world with our Tees Valley has a ready skilled labour force excellent infrastructure, including one of the which is one of the most affordable and value UK’s leading ports, the quickest road connections for money in the UK. -
An Improved Tabu Search Algorithm for the Fixed-Spectrum Frequency-Assignment Problem Roberto Montemanni, Jim N
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 52, NO. 3, MAY 2003 891 An Improved Tabu Search Algorithm for the Fixed-Spectrum Frequency-Assignment Problem Roberto Montemanni, Jim N. J. Moon, and Derek H. Smith Abstract—A tabu search algorithm with a dynamic tabu list for this meant that several or many pairs of transmitters had the fixed-spectrum frequency-assignment problem is presented. inadequate frequency separation. It is now recognized that For cellular problems, the algorithm can be combined with an the pattern of interference obtained when this approach is efficient cell reoptimization step. The algorithm is tested on several sets of test problems and compared with existing algorithms of used may be quite unsatisfactory. One way to overcome the established performance. In particular, it is used to improve problem is to minimize a measure of interference based on some of the best existing assignments for COST 259 benchmarks. the signal-to-interference ratio (SIR) at specified reception These results add support to the claim that the algorithm is the points [10], [11]. This approach is conceptually attractive as most effective available, at least when solution quality is a more interference is directly minimized and it can take account of important criterion than solution speed. The algorithm is robust and easy to tune. multiple interference. However, it is computationally demanding and may restrict the size of the problems that can be handled. Index Terms—Fixed-spectrum problems, radio-frequency Our recent experiences with this approach suggest that, if data assignment, tabu search algorithm. structures of similar efficiency are used, run times are increased by a factor of about 20. -
PIM International Vol 8 No 1 March 2014
4 1 0 2 H C R A M 1 . o N 8 . l o V in this issue Company visit: Ortho Organizers HIP of MIM components Profile: Centorr Vacuum Industries Published by Inovar Communications Ltd www.pim-international.com MIM in China Publisher & editorial offices Inovar Communications Ltd 2 The Rural Enterprise Centre Battlefield Enterprise Park Shrewsbury SY1 3FE, United Kingdom Tel: +44 (0)1743 454990 Fax: +44 (0)1743 469909 Email: [email protected] Web: www.pim-international.com Managing Director and Editor Nick Williams Tel: +44 (0)1743 454991 For the metal, ceramic and carbide injection moulding industries Email: [email protected] Publishing Director Paul Whittaker Tel: +44 (0)1743 454992 Email: [email protected] New opportunities Consulting Editors Professor Randall M German in established markets Associate Dean of Engineering, Professor of Mechanical Engineering, San Diego State University, USA Welcome to the first issue of PIM International for 2014. With the Dr Yoshiyuki Kato PM World Congress scheduled for May 2014, those in our industry Kato Professional Engineer Office, Yokohama, Japan will once again have an unmissable opportunity to get together Dr Professor Frank Petzoldt Deputy Director, Fraunhofer IFAM, Bremen, Germany with parts producers, industry suppliers and leading researchers Bernard Williams from around the world to share information and discover new Consultant, Shrewsbury, UK opportunities. We look forward to exhibiting at PM2014 Orlando in May and hope to see you in the exhibit hall. Advertising Jon Craxford, Advertising Director Tel: +44 (0) 207 1939 749 This issue of PIM International features two reports on PIM in the Fax: +44 (0) 1743 469 909 dental sector, one of the most important markets for PIM globally, E-mail: [email protected] but particularly in North America. -
Full Programme
SPONSORS MAIN SPONSOR PLATINUM SPONSORS SPONSORS MEDIA SPONSOR SUPPORTERS TABLE OF CONTENTS Committees International Scientific Committee......................................................................6 Local Turkish Scientific Committee.......................................................................7 Local Turkish Organising Committee...................................................................8 General Information...................................................................................................9 Social Programme.......................................................................................................10 Content Course On Tribocorrosion........................................................................11 Programme at a Glance.....................................................................................12-15 Meetings........................................................................................................................16 Scientific Lecture Programme ..............................................................................17 Opening Plenary Lectures......................................................................................17 Monday, 10 September 2012........................................................................18-26 Tuesday, 11 September 2012........................................................................27-37 Wednesday, 12 September 2012.................................................................38-47 Thursday, 13 September -
103Rd Annual Report 2009-2010
A Global Player A Product Pioneer A Corporate Citizen 103rd Annual Report 2009-2010 000_Covers_TSAR'10.indd 2 6/28/10 12:11:26 PM 000_Covers_TSAR'10.indd 3 6/28/10 12:11:40 PM A Global Player >> A Product Pioneer >> A Corporate Citizen It was the best of times, it was the worst of times... Never before has this famous line meant more. The roller coaster ride that the last two years took the global economy through, proved one fact – that a successful enterprise needs to have the resilience to withstand the highs and lows of a future that often comes unheralded. As a global enterprise, Tata Steel was not unaffected by the challenges of the last two years. Yet, the Company demonstrated resilience by taking several proactive initiatives across all geographies. A tough start to the year was balanced by a rebound in the second half, when these initiatives began to pay off. Undeterred by the economic turbulence, the Company continued to place emphasis on working practices in health, safety and corporate citizenship, with specific initiatives taken in all these areas. In addition, a continued focus on engineering solutions for customers, is helping it maintain its position of a product pioneer. Tata Steel believes in staying alert to future opportunities while never letting go of its core values. This is the philosophy that has underpinned its growth over the years and one that remains its key driving force. 001-011_Part01_TSAR10.indd 1 7/7/10 12:55:19 PM Inside the gas holder - part of the BOS gas recovery scheme at Port Talbot, UK. -
A Tabu Search Algorithm with Efficient Diversification Strategy for High School Timetabling Problem
International Journal of Computer Science & Information Technology (IJCSIT) Vol 5, No 4, August 2013 A TABU SEARCH ALGORITHM WITH EFFICIENT DIVERSIFICATION STRATEGY FOR HIGH SCHOOL TIMETABLING PROBLEM Salman Hooshmand1 , Mehdi Behshameh2 and OmidHamidi3 1Department of Computer Engineering, Hamedan University of Technology, Hamedan Iran [email protected] 2Department of Computer Engineering, Islamic Azad University ,Toyserkan Branch, Toyserkan, Iran [email protected] 3Department of Science, Hamedan University of Technology, Hamedan, Iran [email protected] ABSTRACT The school timetabling problem can be described as scheduling a set of lessons (combination of classes, teachers, subjects and rooms) in a weekly timetable. This paper presents a novel way to generate timetables for high schools. The algorithm has three phases. Pre-scheduling, initial phase and optimization through tabu search. In the first phase, a graph based algorithm used to create groups of lessons to be scheduled simultaneously; then an initial solution is built by a sequential greedy heuristic. Finally, the solution is optimized using tabu search algorithm based on frequency based diversification. The algorithm has been tested on a set of real problems gathered from Iranian high schools. Experiments show that the proposed algorithm can effectively build acceptable timetables. KEYWORDS Timetabling. Tabu Search. Diversification .Graph . Scheduling 1. INTRODUCTION Scheduling high school lessons has been considered to be one of the main concerns of schools’ staff before beginning of the term. Manual timetabling is tedious and generally takes several weeks to build an acceptable timetable. The main difficulty is related to the size of the problem; the algorithm should consider several conflicting criteria and conditions often for a large number of classes, teachers and courses. -
Solving Zero-One Mixed Integer Programming Problems Using Tabu Search
Solving Zero-One Mixed Integer Programming Problems Using Tabu Search by Arne Løkketangen * Fred Glover # 20 April 1997 Abstract We describe a tabu search approach for solving general zero- one mixed integer programming problems that exploits the extreme point property of zero-one solutions. Specialized choice rules and aspiration criteria are identified for the problems, expressed as functions of integer infeasibility measures and objective function values. The first-level TS mechanisms are then extended with advanced level strategies and learning. We also look at probabilistic measures in this framework, and examine how the learning tool Target Analysis can be applied to identify better control structures and decision rules. Computational results are reported on a portfolio of multiconstraint knapsack problems. Our approach is designed to solve thoroughly general 0/1 MIP problems and thus contains no problem domain specific knowledge, yet it obtains solutions for the multiconstraint knapsack problem whose quality rivals, and in some cases surpasses, the best solutions obtained by special purpose methods that have been created to exploit the special structure of these problems. Keywords Tabu Search, Heuristics, Integer Programming #* School of Business, CB419 Molde College University of Colorado Britvn. 2 Boulder, CO 80309 6400 Molde USA Norway Email: [email protected] Email: [email protected] 2 Introduction Tabu search (TS) has been applied to solving a variety of zero-one mixed integer programming (MIP) problems with special structures, ranging from scheduling and routing to group technology and probabilistic logic. (See, for example, the volume Annals of Operations Research 41 (1993), and the application surveys in Glover and Laguna (1993), and Glover (1996)). -
A Comparative Analysis of a Tabu Search and a Genetic Algorithm for Solving a University Course Timetabling Problem
DEGREE PROJECT, IN COMPUTER SCIENCE , FIRST LEVEL STOCKHOLM, SWEDEN 2015 A comparative analysis of a Tabu Search and a Genetic Algorithm for solving a University Course Timetabling Problem CASPER RENMAN AND HAMPUS FRISTEDT KTH ROYAL INSTITUTE OF TECHNOLOGY CSC SCHOOL www.kth.se iii Abstract This work implements a Tabu search (TS) algorithm for solving an instance of the University Course Timetabling Problem (UCTP). The algorithm is com- pared to a Genetic algorithm (GA) implemented by Yamazaki and Pertoft (2014) that solves the same instance. The purpose of the work is to explore how the approaches differ for this particular instance, and specifically inves- tigate whether a TS algorithm alone is sufficient, considering the small size of the UCTP instance. The TS was based on the OpenTS library (Harder, 2001) and reuses parts from Yamazaki and Pertoft’s (2014) GA. The results show that the TS alone is too slow. Even in a small instance of the UCTP, the search space is too big for the TS to be fast. This confirms the state of the art, that a combination of TS and GA would perform better than either of them individually. Further improvements on the TS would involve reducing the number of moves generated each iteration. iv Sammanfattning Detta arbete implementerar en Tabu search-algoritm (TS) för att lösa en in- stans av University Course Timetabling Problem (UCTP). Algoritmen jämförs med en Genetic algoritm (GA) implementerad av Yamazaki och Pertoft (2014) som löser samma instans. Syftet med arbetet är att utforska hur angreppssätten skiljer sig för denna instans, och specifikt undersöka om det räcker att endast använda en TS-algoritm, eftersom instansen är liten. -
Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling Matthew J
Exploiting the Power of Local Search in a Branch and Bound Algorithm for Job Shop Scheduling Matthew J. Streeter1 and Stephen F. Smith2 Computer Science Department and Center for the Neural Basis of Cognition1 and The Robotics Institute2 Carnegie Mellon University Pittsburgh, PA 15213 {matts, sfs}@cs.cmu.edu Abstract nodes in the branch and bound search tree. This paper presents three techniques for using an iter- 2. Branch ordering. In practice, a near-optimal solution to ated local search algorithm to improve the performance an optimization problem will often have many attributes of a state-of-the-art branch and bound algorithm for job (i.e., assignments of values to variables) in common with shop scheduling. We use iterated local search to obtain an optimal solution. In this case, the heuristic ordering (i) sharpened upper bounds, (ii) an improved branch- of branches can be improved by giving preference to a ordering heuristic, and (iii) and improved variable- branch that is consistent with the near-optimal solution. selection heuristic. On randomly-generated instances, our hybrid of iterated local search and branch and bound 3. Variable selection. The heuristic solutions used for vari- outperforms either algorithm in isolation by more than able selection at each node of the search tree can be im- an order of magnitude, where performance is measured proved by local search. by the median amount of time required to find a globally optimal schedule. We also demonstrate performance We demonstrate the power of these techniques on the job gains on benchmark instances from the OR library. shop scheduling problem, by hybridizing the I-JAR iter- ated local search algorithm of Watson el al. -
Steeling Demand: Mobilising Buyers to Bring Net-Zero Steel to Market Before 2030
July 2021 Version 1.0 Steeling Demand: Mobilising buyers to bring net-zero steel to market before 2030 Supported by Breakthrough Energy An analysis by Energy Transitions Commission and Material Economics for the Mission Possible Partnership's Net-Zero Steel Initiative Steeling Demand: Mobilising buyers to bring net-zero steel to market before 2030 Steeling Demand: Mobilising buyers to bring net-zero steel to market before 2030 Steeling Demand: Mobilising buyers to bring net- Breakthrough Energy zero steel to market before 2030 demonstrates that Founded by Bill Gates, Breakthrough Energy is demand signals from steel buyers to steel manufacturers dedicated to helping humanity avoid a climate can help unlock investment decisions. Such signals disaster. Through investment vehicles, philanthropic will secure the next generation of breakthrough programs, policy advocacy, and other activities, technologies needed for primary steel to become truly we’re committed to scaling the technologies we net-zero emissions. This is significant in an industry that need to reach net-zero emissions by 2050. globally accounted for 2.6 Gt of direct CO2 emissions in 2019, representing about one-quarter of industrial Mission Possible Partnership CO2 emissions and 7% of total energy sector emissions Led by the ETC, RMI, the We Mean Business Coalition, (including process emissions). This report provides and the World Economic Forum, the Mission Possible the guidance needed to the critical stakeholders in Partnership (MPP) is an alliance of climate leaders the automotive, construction, renewable energy and focused on supercharging the decarbonisation of white goods sectors on how to seize the associated seven global industries representing 30 percent of commercial opportunity for steel buyers in being early emissions – aluminium, concrete, chemicals, steel, movers and actively participating in the commercialisation aviation, shipping, and trucking. -
Non-Oriented Electrical Steel from China, Germany, Japan, Korea, Sweden, and Taiwan
Non-Oriented Electrical Steel from China, Germany, Japan, Korea, Sweden, and Taiwan Investigation Nos. 701-TA-506 and 508 and 731-TA-1238-1243 (Review) Publication 5140 December 2020 U.S. International Trade Commission Washington, DC 20436 U.S. International Trade Commission COMMISSIONERS Jason E. Kearns, Chair Randolph J. Stayin, Vice Chair David S. Johanson Rhonda K. Schmidtlein Amy A. Karpel Catherine Defilippo Director of Operations Staffassigned Julie Duffy, Investigator Daniel Matthews, Industry Analyst Andrew Knipe, Economist Emily Kim, Accountant Cynthia Payne, Statistician Jason Miller, Attorney Douglas Corkran, Supervisory Investigator Address all communications to Secretary to the Commission United States International Trade Commission Washington, DC 20436 U.S. International Trade Commission Washington, DC 20436 www.usitc.gov Non-Oriented Electrical Steel from China, Germany, Japan, Korea, Sweden, and Taiwan Investigation Nos. 701-TA-506 and 508 and 731-TA-1238-1243 (Review) Publication 5140 December 2020 CONTENTS Page Determinations ..................................................................................................................... 1 Views of the Commission ....................................................................................................... 3 Part I: Introduction .............................................................................................................. I-1 Background ...............................................................................................................................