Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
ACO algorithms for the quadratic assignment problem
New ideas in optimization
Future Generation Computer Systems
Ant Colony Optimization
Consultant-guided search: a new metaheuristic for combinatorial optimization problems
Proceedings of the 12th annual conference on Genetic and evolutionary computation
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Consultant-Guided Search (CGS) is a recent swarm intelligence metaheuristic for combinatorial optimization problems, inspired by the way real people make decisions based on advice received from consultants. Until now, CGS has been successfully applied to the Traveling Salesman Problem. Because a good metaheuristic should be able to tackle efficiently a large variety of problems, it is important to see how CGS behaves when applied to other classes of problems. In this paper, we propose four CGS algorithms for the Quadratic Assignment Problem (QAP) and we compare their performance. Our experimental results show that CGS is able to compete with Ant Colony Optimization in terms of solution quality.