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» Coevolutionary Convergence to Global Optima
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GRC
2008
IEEE
13 years 6 months ago
Convergence of Ant Colony Optimization on First-order Deceptive Systems
Deceptive problems have been considered difficult for ant colony optimization (ACO) and it was believed that ACO will fail to converge to global optima of deceptive problems. Thi...
Yixin Chen, Haiying Sun
GECCO
2010
Springer
200views Optimization» more  GECCO 2010»
13 years 10 months ago
Multivariate multi-model approach for globally multimodal problems
This paper proposes an estimation of distribution algorithm (EDA) aiming at addressing globally multimodal problems, i.e., problems that present several global optima. It can be r...
Chung-Yao Chuang, Wen-Lian Hsu
RC
2002
72views more  RC 2002»
13 years 5 months ago
Symbolic Preconditioning with Taylor Models: Some Examples
Deterministic global optimization with interval analysis involves - using interval enclosures for ranges of the constraints, objective, and gradient to reject infeasible regions, r...
R. Baker Kearfott, G. William Walster
ISDA
2008
IEEE
14 years 5 days ago
Inertia-Adaptive Particle Swarm Optimizer for Improved Global Search
This paper describes a method for improving the final accuracy and the convergence speed of Particle Swarm Optimization (PSO) by adapting its inertia factor in the velocity updati...
Kaushik Suresh, Sayan Ghosh, Debarati Kundu, Abhir...
ISICA
2007
Springer
13 years 12 months ago
Fast Multi-swarm Optimization with Cauchy Mutation and Crossover Operation
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Qing Zhang, Changhe Li, Yong Liu, Lishan Kang