Sciweavers

160 search results - page 2 / 32
» Multimodal Function Optimization Using Local Ruggedness Info...
Sort
View
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
13 years 10 months ago
Evolutionary benefits of evolvable component integration
A system composed of multiple interacting components is capable of responding to contextual information and producing a higher range of non-linear responses to stimuli compared to...
David Malkin, R. Beau Lotto
GECCO
2005
Springer
128views Optimization» more  GECCO 2005»
13 years 10 months ago
Fitness-based neighbor selection for multimodal function optimization
We propose a selection scheme called Fitness-based Neighbor Selection (FNS) for multimodal optimization. The FNS is aimed for ill-scaled and locally multimodal domain, both found ...
Shin Ando, Shigenobu Kobayashi
EC
2012
289views ECommerce» more  EC 2012»
12 years 7 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
ISDA
2008
IEEE
13 years 11 months ago
Multimodal Medical Image Registration Using Particle Swarm Optimization
In image guided surgery, the registration of preand intra-operative image data is an important issue. In registrations, we seek an estimate of the transformation that registers th...
Yen-Wei Chen, Chen-Lun Lin, Aya Mimori
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
13 years 10 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba