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» Cunning Ant System for Quadratic Assignment Problem with Loc...
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PREMI
2007
Springer
13 years 11 months ago
Cunning Ant System for Quadratic Assignment Problem with Local Search and Parallelization
Abstract. The previously proposed cunning ant system (cAS), a variant of the ACO algorithm, worked well on the TSP and the results showed that the cAS could be one of the most prom...
Shigeyoshi Tsutsui
GECCO
2010
Springer
213views Optimization» more  GECCO 2010»
13 years 5 months ago
Consultant-guided search algorithms for the quadratic assignment problem
Abstract. Consultant-Guided Search (CGS) is a recent swarm intelligence metaheuristic for combinatorial optimization problems, inspired by the way real people make decisions based ...
Serban Iordache
GECCO
2006
Springer
287views Optimization» more  GECCO 2006»
13 years 8 months ago
A GA-ACO-local search hybrid algorithm for solving quadratic assignment problem
In recent decades, many meta-heuristics, including genetic algorithm (GA), ant colony optimization (ACO) and various local search (LS) procedures have been developed for solving a...
Yiliang Xu, Meng-Hiot Lim, Yew-Soon Ong, Jing Tang
ASIAN
1999
Springer
186views Algorithms» more  ASIAN 1999»
13 years 9 months ago
Ant Colony Optimization for the Ship Berthing Problem
Abstract. Ant Colony Optimization (ACO) is a paradigm that employs a set of cooperating agents to solve functions or obtain good solutions for combinatorial optimization problems. ...
Chia Jim Tong, Hoong Chuin Lau, Andrew Lim
ICEC
1994
82views more  ICEC 1994»
13 years 6 months ago
Improving Search by Incorporating Evolution Principles in Parallel Tabu Search
Combinatorial optimization problems require computing efforts which grow at least exponentially with the problem dimension. Therefore, the use of the remarkable power of massively...
Ivan De Falco, Renato Del Balio, Ernesto Tarantino...