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Parallelization strategies for Ant Colony Optimization
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Computer Solutions of the Traveling Salesman Problem
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Parallelization Strategies for the Ant System
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Sequential and Parallel Local Search Algorithms for Job Shop Scheduling
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Improvements on the Ant-System: Introducing the MAX-MIN Ant System
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Combining simulated annealing with local search heuristics
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Genetic local search algorithms for the traveling salesman problem
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Slow annealing versus multiple fast annealing runs — an empirical investigation
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Comparison of iterative searches for the quadratic assignment problem
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Robust taboo search for the quadratic assignment problem
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Ant system: optimization by a colony of cooperating agents
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Ant colony system: a cooperative learning approach to the traveling salesman problem
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The ant system applied to the quadratic assignment problem
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Genetic local search for the TSP: new results
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MAX-MIN Ant System and local search for the traveling salesman problem
inferredcites →https://doi.org/10.1287/ijoc.3.4.376openalex-snapshot
TSPLIB—A Traveling Salesman Problem Library
inferredcites →https://doi.org/10.1287/ijoc.4.4.387openalex-snapshot
Fast Algorithms for Geometric Traveling Salesman Problems
inferredcites →https://doi.org/10.1287/ijoc.9.1.61openalex-snapshot
Toward a Taxonomy of Parallel Tabu Search Heuristics
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A new rank based version of the Ant System. A computational study.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Performance Analysis and Tuning for Parallelization of Ant Colony Optimization by Using OpenMP
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Matrice cellulaire pour des algorithmes parallèles de k-means et de recherche locale appliqués à des problèmes euclidiens d’appariement de graphes
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SURATRAM - Intelligent Transport System for freight management in urban areas
inferred← citeshttps://doi.org/10.7551/mitpress/1290.003.0004openalex-snapshot
The Ant Colony Optimization Metaheuristic
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