Solution bias in ant colony optimisation: Lessons for selecting pheromone models

Author:

Montgomery James,Randall Marcus,Hendtlass Tim

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Modelling and Simulation,General Computer Science

Reference31 articles.

1. Model-based search for combinatorial optimization: a comparative study;Zlochin,2002

2. Ant colony optimization for FOP shop scheduling: a case study on different pheromone representations;Blum,2002

3. The ant colony optimisation metaheuristic: algorithms, applications and advances;Dorigo,2002

4. Search bias in ant colony optimization: on the role of competition-balanced systems;Blum;IEEE Transactions on Evolutionary Computation,2005

5. Blum C, Sampels M. When model bias is stronger than selection pressure. In: Merelo-Guervós JJ, et al., editors. Proceedings of the seventh international conference on parallel problem solving from nature (PPSN2002). Granada, Spain; 2002. p. 893–902.

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