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» On the Convergence of Bound Optimization Algorithms
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GECCO
2005
Springer
130views Optimization» more  GECCO 2005»
15 years 10 months ago
Quality-time analysis of multi-objective evolutionary algorithms
A quality-time analysis of multi-objective evolutionary algorithms (MOEAs) based on schema theorem and building blocks hypothesis is developed. A bicriteria OneMax problem, a hypo...
Jian-Hung Chen, Shinn-Ying Ho, David E. Goldberg
ATAL
2009
Springer
15 years 11 months ago
Adaptive price update in distributed Lagrangian relaxation protocol
Distributed Lagrangian Relaxation Protocol (DisLRP) has been proposed to solve a distributed combinatorial maximization problem called the Generalized Mutual Assignment Problem (G...
Katsutoshi Hirayama, Toshihiro Matsui, Makoto Yoko...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
15 years 2 months ago
Beyond local optimality: An improved approach to hybrid model learning
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
Stephanie Gil, Brian Williams
IICAI
2003
15 years 5 months ago
A Hybrid Genetic Algorithm for Minimum Vertex Cover Problem
Minimum vertex cover problem (MVCP) is an NP-hard problem and it has numerous real life applications. This paper presents hybrid genetic algorithm (HGA) to solve MVCP efficiently. ...
Ketan Kotecha, Nilesh Gambhava
GECCO
2005
Springer
207views Optimization» more  GECCO 2005»
15 years 10 months ago
Adaptive crossover and mutation in genetic algorithms based on clustering technique
Instead of having fixed px and pm, this paper presents the use of fuzzy logic to adaptively tune px and pm for optimization of power electronic circuits throughout the process. By...
Jun Zhang, Henry Shu-Hung Chung, Jinghui Zhong