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CEC
2007
IEEE
14 years 2 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
GECCO
2008
Springer
139views Optimization» more  GECCO 2008»
13 years 9 months ago
Behavior-based speciation for evolutionary robotics
This paper describes a speciation method that allows an evolutionary process to learn several robot behaviors using a single execution. Species are created in behavioral space in ...
Leonardo Trujillo, Gustavo Olague, Evelyne Lutton,...
AIEDAM
2000
134views more  AIEDAM 2000»
13 years 8 months ago
Adaptive enlargement of state spaces in evolutionary designing
In designing a state space of possible designs is implied by the representation used and the computational processes that operate on that representation. GAs are a means of effect...
John S. Gero, Vladimir A. Kazakov
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 3 days ago
Evolving cooperative behavior in a power market
This paper presents an evolutionary algorithm to develop cooperative strategies for power buyers in a deregulated electrical power market. Cooperative strategies are evolved throu...
Dipti Srinivasan, Dakun Woo, Lily Rachmawati, Kong...
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 2 months ago
Rigorous analyses of simple diversity mechanisms
It is widely assumed and observed in experiments that the use of diversity mechanisms in evolutionary algorithms may have a great impact on its running time. Up to now there is no...
Tobias Friedrich, Nils Hebbinghaus, Frank Neumann