Combining two pheromone structures for solving the car sequencing problem with ant colony optimization

DOI10.1016/j.ejor.2007.04.037zbMath1157.90357OpenAlexW1991867138MaRDI QIDQ932221

Christine Solnon

Publication date: 10 July 2008

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2007.04.037

zbMATH Keywords

ant colony optimizationcar sequencing problemmultiple pheromone structures

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Traffic problems in operations research (90B20)

Related Items (5)

Minimizing sequence-dependent setup costs in feeding batch processes under due date restrictions ⋮ CP with ACO ⋮ The car sequencing problem: overview of state-of-the-art methods and industrial case-study of the ROADEF'2005 challenge problem ⋮ Robust car sequencing for automotive assembly ⋮ USING ANT COLONY OPTIMIZATION TO MINIMIZE THE FUZZY MAKESPAN AND TOTAL WEIGHTED FUZZY COMPLETION TIME IN FLOW SHOP SCHEDULING PROBLEMS

Uses Software

• COMET
• CSPLib
• MACS-VRPTW
• HAS-QAP

Cites Work

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• Ant colony system with communication strategies
• On the complexity of the car sequencing problem.
• The car sequencing problem: overview of state-of-the-art methods and industrial case-study of the ROADEF'2005 challenge problem
• Two local search approaches for solving real-life car sequencing problems
• A comparative study of ant colony optimization and reactive search for graph matching problems
• An improved ant system algorithm for the vehicle routing problem
• Multi colony ant algorithms
• A study of ACO capabilities for solving the maximum clique problem
• Ant colonies for the quadratic assignment problem
• Review and comparison of three methods for the solution of the car sequencing problem
• Evolutionary Computation in Combinatorial Optimization
• Integration of AI and OR Techniques in Constraint Programming for Combinatorial Optimization Problems
• Principles and Practice of Constraint Programming – CP 2004

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