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» Population set-based global optimization algorithms: some mo...
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ASIAMS
2007
IEEE
13 years 11 months ago
Modified Line Search Method for Global Optimization
This paper introduces a modified version of the well known global optimization technique named line search method. The modifications refer to the way in which the direction and th...
Crina Grosan, Ajith Abraham
ICANNGA
2009
Springer
163views Algorithms» more  ICANNGA 2009»
13 years 9 months ago
Elitistic Evolution: An Efficient Heuristic for Global Optimization
A new evolutionary algorithm, Elitistic Evolution (termed EEv), is proposed in this paper. EEv is an evolutionary method for numerical optimization with adaptive behavior. EEv uses...
Francisco Viveros Jiménez, Efrén Mez...
CEC
2008
IEEE
13 years 11 months ago
NichingEDA: Utilizing the diversity inside a population of EDAs for continuous optimization
— Since the Estimation of Distribution Algorithms (EDAs) have been introduced, several single model based EDAs and mixture model based EDAs have been developed. Take Gaussian mod...
Weishan Dong, Xin Yao
EC
2012
289views ECommerce» more  EC 2012»
12 years 29 days ago
Multimodal Optimization Using a Bi-Objective Evolutionary Algorithm
In a multimodal optimization task, the main purpose is to find multiple optimal solutions (global and local), so that the user can have a better knowledge about different optima...
Kalyanmoy Deb, Amit Saha
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
13 years 11 months ago
A multimodal particle swarm optimizer based on fitness Euclidean-distance ratio
One of the most critical issues that remains to be fully addressed in existing multimodal evolutionary algorithms is the difficulty in pre-specifying parameters used for estimatin...
Xiaodong Li