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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
13 years 11 months ago
Accelerating convergence using rough sets theory for multi-objective optimization problems
We propose the use of rough sets theory to improve the first approximation provided by a multi-objective evolutionary algorithm and retain the nondominated solutions using a new ...
Luis V. Santana-Quintero, Carlos A. Coello Coello
GECCO
2008
Springer
180views Optimization» more  GECCO 2008»
13 years 11 months ago
An agent-based collaborative evolutionary model for multimodal optimization
A novel approach to multimodal optimization called Roaming Agent-Based Collaborative Evolutionary Model (RACE) combining several evolutionary techniques with agent-based modeling ...
Rodica Ioana Lung, Camelia Chira, Dumitru Dumitres...
GECCO
2008
Springer
168views Optimization» more  GECCO 2008»
13 years 11 months ago
Parameterizing pair approximations for takeover dynamics
Pair approximations have often been used to predict equilibrium conditions in spatially-explicit epidemiological and ecological systems. In this work, we investigate whether this ...
Joshua L. Payne, Margaret J. Eppstein
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 11 months ago
Evolutionary design of dynamic SwarmScapes
This paper discusses interactive evolutionary algorithms and their application in swarm-based image generation. From an artist’s perspective, the computer-generated patterns o...
Namrata Khemka, Scott Novakowski, Gerald Hushlak, ...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 11 months ago
Allocation of local and global search capabilities of particle in canonical PSO
This paper analyzes theoretically the exact sampling distribution of the particle swarm optimization (PSO) without any assumption imposed by all current analyses. The distribution...
Junqi Zhang, Kun Liu, Ying Tan, Xingui He