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115
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GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 2 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
93
Voted
CEC
2010
IEEE
15 years 1 months ago
Multi-objective mobile agent-based Sensor Network Routing using MOEA/D
Abstract— Mobile agents are often used in wireless sensor networks for distributed target detection with the goal of minimizing the transmission of non-critical data that negativ...
Andreas Konstantinidis 0002, Christoforos Charalam...
114
Voted
CEC
2010
IEEE
15 years 1 months ago
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
98
Voted
ALIFE
2006
15 years 1 months ago
Evolving Physically Simulated Flying Creatures for Efficient Cruising
The body-brain coevolution of aerial life forms has not been developed as far as aquatic or terrestrial locomotion in the field of artificial life. We are studying physically simu...
Yoon-Sik Shim, Chang-Hun Kim
102
Voted
CORR
2006
Springer
94views Education» more  CORR 2006»
15 years 1 months ago
Fitness Uniform Optimization
Abstract-- In evolutionary algorithms, the fitness of a population increases with time by mutating and recombining individuals and by a biased selection of more fit individuals. Th...
Marcus Hutter, Shane Legg