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GECCO
2006
Springer
127views Optimization» more  GECCO 2006»
15 years 10 months ago
Multiobjective genetic algorithms for multiscaling excited state direct dynamics in photochemistry
This paper studies the effectiveness of multiobjective genetic and evolutionary algorithms in multiscaling excited state direct dynamics in photochemistry via rapid reparameteriza...
Kumara Sastry, D. D. Johnson, Alexis L. Thompson, ...
GECCO
2006
Springer
130views Optimization» more  GECCO 2006»
15 years 10 months ago
An efficient multi-objective evolutionary algorithm with steady-state replacement model
The generic Multi-objective Evolutionary Algorithm (MOEA) aims to produce Pareto-front approximations with good convergence and diversity property. To achieve convergence, most mu...
Dipti Srinivasan, Lily Rachmawati
GECCO
2006
Springer
191views Optimization» more  GECCO 2006»
15 years 10 months ago
The Brueckner network: an immobile sorting swarm
In many industrial applications, the dynamic control of queuing and routing presents difficult challenges. We describe a novel ant colony control system for a multiobjective sorti...
William A. Tozier, Michael R. Chesher, Tejinderpal...
GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 10 months ago
Alternative evolutionary algorithms for evolving programs: evolution strategies and steady state GP
In contrast with the diverse array of genetic algorithms, the Genetic Programming (GP) paradigm is usually applied in a relatively uniform manner. Heuristics have developed over t...
L. Darrell Whitley, Marc D. Richards, J. Ross Beve...
GECCO
2006
Springer
152views Optimization» more  GECCO 2006»
15 years 10 months ago
Strong recombination, weak selection, and mutation
We show that there are unimodal fitness functions and genetic algorithm (GA) parameter settings where the GA, when initialized with a random population, will not move close to the...
Alden H. Wright, J. Neal Richter