Sciweavers

937 search results - page 110 / 188
» Hybrid Evolutionary Algorithm for Solving Global Optimizatio...
Sort
View
ICASSP
2008
IEEE
15 years 8 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
ICMLA
2004
15 years 3 months ago
A new discrete binary particle swarm optimization based on learning automata
: The particle swarm is one of the most powerful methods for solving global optimization problems. This method is an adaptive algorithm based on social-psychological metaphor. A po...
Reza Rastegar, Mohammad Reza Meybodi, Kambiz Badie
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
15 years 8 months ago
Promising infeasibility and multiple offspring incorporated to differential evolution for constrained optimization
In this paper, we incorporate a diversity mechanism to the differential evolution algorithm to solve constrained optimization problems without using a penalty function. The aim is...
Efrén Mezura-Montes, Jesús Vel&aacut...
122
Voted
HICSS
2005
IEEE
134views Biometrics» more  HICSS 2005»
15 years 8 months ago
A Non-Exact Approach and Experiment Studies on the Combinatorial Auction Problem
In this paper we formulate a combinatorial auction brokering problem as a set packing problem and apply a simulated annealing heuristic with hybrid local moves to solve the proble...
Yunsong Guo, Andrew Lim, Brian Rodrigues, Yi Zhu
110
Voted
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
15 years 9 months ago
Using a distance metric to guide PSO algorithms for many-objective optimization
In this paper we propose to use a distance metric based on user-preferences to efficiently find solutions for manyobjective problems. We use a particle swarm optimization (PSO) a...
Upali K. Wickramasinghe, Xiaodong Li