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» Evolutionary algorithms and dynamic programming
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EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 14 days ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
AGI
2008
13 years 8 months ago
Anticipative coordinated cognitive processes for interactivist and Piagetian theories
Abstract. This paper presents a model of intelligence based on principles introduced by Piaget and the interactivist framework. It focuses on embodiment and sensory-motor aspects o...
Jean-Charles Quinton, Jean-Christophe Buisson, Fil...
CEC
2005
IEEE
14 years 19 days ago
A study of dynamic severity in chaotic fitness landscapes
In this paper1 , we consider optimization by an evolutionary algorithm in dynamic environments that change chaotically. In particular, the concept of dynamic severity is applied to...
Hendrik Richter
ICTAI
2009
IEEE
14 years 1 months ago
Evolution Strategies for Constants Optimization in Genetic Programming
Evolutionary computation methods have been used to solve several optimization and learning problems. This paper describes an application of evolutionary computation methods to con...
César Luis Alonso, José Luis Monta&n...
CEC
2005
IEEE
14 years 19 days ago
Memory-enhanced univariate marginal distribution algorithms for dynamic optimization problems
Several approaches have been developed into evolutionary algorithms to deal with dynamic optimization problems, of which memory and random immigrants are two major schemes. This pa...
Shengxiang Yang