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EUROGP
2000
Springer
14 years 1 months ago
Seeding Genetic Programming Populations
We show genetic programming (GP) populations can evolve under the influence of a Pareto multi-objective fitness and program size selection scheme, from "perfect" programs...
William B. Langdon, Peter Nordin
GECCO
2000
Springer
142views Optimization» more  GECCO 2000»
14 years 1 months ago
Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
Hitoshi Iba, Makoto Terao
AHS
2006
IEEE
108views Hardware» more  AHS 2006»
13 years 11 months ago
A Multi-Objective Genetic Algorithm for On-Chip Real-time Adaptation of a Multi-Carrier Based Telecommunications Receiver
This paper presents a multi-objective algorithm for on-line adaptation of a multi-carrier code-division multiple access (MC-CDMA) receiver. A specially tailored Genetic Algorithm ...
Nasri Sulaiman, Ahmet T. Erdogan
HIS
2003
13 years 11 months ago
Concurrent Application of Genetic Algorithm in Pattern Recognition
Abstract. This paper proposes the fitness control procedure for the application of genetic algorithms (GA) in pattern recognition. Instead of using GA to solve a concomitant optim...
Mario Köppen, Evgenia Dimitriadou
ICEC
1994
147views more  ICEC 1994»
13 years 11 months ago
VLSI Circuit Synthesis Using a Parallel Genetic Algorithm
A parallel implementation of a genetic algorithm used to evolve simple analog VLSI circuits is described. The parallel computer system consisted of twenty distributed SPARC workst...
Mike Davis, Luoping Liu, John G. Elias