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CEC
2010
IEEE
15 years 4 months ago
A Mean-Variance Optimization algorithm
A new stochastic optimization algorithm referred to by the authors as the `Mean-Variance Optimization' (MVO) algorithm is presented in this paper. MVO falls into the category ...
Istvan Erlich, Ganesh K. Venayagamoorthy, Nakawiro...
SMC
2010
IEEE
276views Control Systems» more  SMC 2010»
15 years 1 months ago
A Modified Invasive Weed Optimization Algorithm for training of feed- forward Neural Networks
— Invasive Weed Optimization Algorithm IWO) is an ecologically inspired metaheuristic that mimics the process of weeds colonization and distribution and is capable of solving mul...
Ritwik Giri, Aritra Chowdhury, Arnob Ghosh, Swagat...
134
Voted
GECCO
2010
Springer
184views Optimization» more  GECCO 2010»
15 years 6 months ago
A mono surrogate for multiobjective optimization
Most surrogate approaches to multi-objective optimization build a surrogate model for each objective. These surrogates can be used inside a classical Evolutionary Multiobjective O...
Ilya Loshchilov, Marc Schoenauer, Michèle S...
GPEM
2002
163views more  GPEM 2002»
15 years 3 months ago
Fast Ant Colony Optimization on Runtime Reconfigurable Processor Arrays
Ant Colony Optimization (ACO) is a metaheuristic used to solve combinatorial optimization problems. As with other metaheuristics, like evolutionary methods, ACO algorithms often sh...
Daniel Merkle, Martin Middendorf
116
Voted
IROS
2006
IEEE
144views Robotics» more  IROS 2006»
15 years 9 months ago
Estimating Probability Distribution with Q-learning for Biped Gait Generation and Optimization
— A new biped gait generation and optimization method is proposed in the frame of Estimation of Distribution Algorithms (EDAs) with Q-learning method. By formulating the biped ga...
Lingyun Hu, Changjiu Zhou, Zengqi Sun