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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 4 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»
14 years 3 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 5 months 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
14 years 4 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»
14 years 3 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