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117
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In the classical binary genetic algorithm, although crossover within a building block (BB) does not always cause a decrease in fitness, any decrease in fitness results from the ...
122
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
There exist a number of high-performance Multi-Objective Evolutionary Algorithms (MOEAs) for solving MultiObjective Optimization (MOO) problems; two of the best are NSGA-II and -M...
128
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
119
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
Genetic Programming (GP) is an automated computational programming methodology, inspired by the workings of natural evolution techniques. It has been applied to solve complex prob...
102
Voted
GECCO
2007
Springer
15 years 9 months ago
2007
Springer
In this paper four mechanisms, fine and coarse grained fitness rating, linguistic evaluation and active user intervention are compared for use in the multi-objective IGA. The inte...