Sciweavers

GECCO
2000
Springer
112views Optimization» more  GECCO 2000»
13 years 8 months ago
Code Compaction Using Genetic Algorithms
One method for compacting executable computer code is to replace commonly repeated sequences of instructions with macro instructions from a decoding dictionary. The size of the de...
Keith E. Mathias, Larry J. Eshelman, J. David Scha...
GECCO
2000
Springer
13 years 8 months ago
A Parallel Genetic Algorithm with Distributed Environment Scheme
Mitsunori Miki, Tomoyuki Hiroyasu, Mika Kaneko
GECCO
2000
Springer
178views Optimization» more  GECCO 2000»
13 years 8 months ago
Fitness Sharing in Genetic Programming
This paper investigates fitness sharing in genetic programming. Implicit fitness sharing is applied to populations of programs. Three treatments are compared: raw fitness, pure fi...
Robert I. McKay
GECCO
2000
Springer
121views Optimization» more  GECCO 2000»
13 years 8 months ago
Metaphor for learning: an evolutionary algorithm
The organizational algorithm is examined as a computational approach to representing interpersonal learning. The structure of the algorithm is introduced and described in context ...
Jody Lee Louse, Alexander Kain, James Hines
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
13 years 8 months ago
Time Complexity of genetic algorithms on exponentially scaled problems
This paper gives a theoretical and empirical analysis of the time complexity of genetic algorithms (GAs) on problems with exponentially scaled building blocks. It is important to ...
Fernando G. Lobo, David E. Goldberg, Martin Pelika...
GECCO
2000
Springer
168views Optimization» more  GECCO 2000»
13 years 8 months ago
A Fault-tolerant Multicast Routing Algorithm in ATM Networks
This paper presents a genetic algorithm based method to solve the capacity and routing assignment problem arising in the design of selfhealing networks using the Virtual Path (VP)...
Sam Kwong, S. S. Chan
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
13 years 8 months ago
A Genetic Algorithm with Tabu Search for Multimodal and Multiobjective Function Optimization
The integration of genetic algorithms (GAs) and tabu search is one of traditional problems in function optimization in the GA literature. However, most proposed methods have utili...
Setsuya Kurahashi, Takao Terano
GECCO
2000
Springer
150views Optimization» more  GECCO 2000»
13 years 8 months ago
Automatic Synthesis of Electrical Circuits Containing a Free Variable Using Genetic Programming
A mathematical formula containing one or more free variables is "general" in the sense that it represents the solution to all instances of a problem (instead of just the...
John R. Koza, Martin A. Keane, Jessen Yu, William ...
GECCO
2000
Springer
114views Optimization» more  GECCO 2000»
13 years 8 months ago
Variable Length Genomes for Evolutionary Algorithms
A general variable length genome, called exG, is developed here to address the problems of fixed length representations in canonical evolutionary algorithms. Convergence aspects o...
C.-Y. Lee, E. K. Antonsson
GECCO
2000
Springer
122views Optimization» more  GECCO 2000»
13 years 8 months ago
Genetic Programming with Statically Scoped Local Variables
This paper presents an extension to genetic programming to allow the evolution of programs containing local variables with static scope which obey the invariant that all variables...
Evan Kirshenbaum