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SOCO
2010
Springer
15 years 3 months ago
Evaluating a local genetic algorithm as context-independent local search operator for metaheuristics
Local genetic algorithms have been designed with the aim of providing effective intensification. One of their most outstanding features is that they may help classical local searc...
Carlos García-Martínez, Manuel Lozan...
ENASE
2009
179views Hardware» more  ENASE 2009»
15 years 2 months ago
Evolving System's Modeling and Simulation through Reflective Petri Nets
Abstract. The design of dynamic discrete-event systems calls for adequate modeling formalisms and tools to manage possible changes occurring during system's lifecycle. A commo...
Lorenzo Capra, Walter Cazzola
CEC
2010
IEEE
14 years 8 months ago
Tweaking a tower of blocks leads to a TMBL: Pursuing long term fitness growth in program evolution
— If a population of programs evolved not for a few hundred generations but for a few hundred thousand or more, could it generate more interesting behaviours and tackle more comp...
Tony E. Lewis, George D. Magoulas
CEC
2011
IEEE
14 years 4 months ago
Curiosity-driven optimization
— The principle of artificial curiosity directs active exploration towards the most informative or most interesting data. We show its usefulness for global black box optimizatio...
Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gom...
TEC
2012
234views Formal Methods» more  TEC 2012»
13 years 7 months ago
Cooperatively Coevolving Particle Swarms for Large Scale Optimization
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...
Xiaodong Li, Xin Yao