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GECCO
2004
Springer
16 years 1 days ago
Memetic Crossover for Genetic Programming: Evolution Through Imitation
For problems where the evaluation of an individual is the dominant factor in the total computation time of the evolutionary process, minimizing the number of evaluations becomes cr...
Brent E. Eskridge, Dean F. Hougen
GECCO
2004
Springer
129views Optimization» more  GECCO 2004»
16 years 1 days ago
Encoding Bounded-Diameter Spanning Trees with Permutations and with Random Keys
Permutations of vertices can represent constrained spanning trees for evolutionary search via a decoder based on Prim’s algorithm, and random keys can represent permutations. Tho...
Bryant A. Julstrom
GECCO
2004
Springer
114views Optimization» more  GECCO 2004»
16 years 1 days ago
Hybrid Genetic Algorithms for Multi-Objective Optimisation of Water Distribution Networks
Abstract. Genetic algorithms have been a standard technique for engineers optimising water distribution networks for some time. However in recent years there has been an increasing...
Ed Keedwell, Soon-Thiam Khu
GECCO
2004
Springer
16 years 1 days ago
Inducing Sequentiality Using Grammatical Genetic Codes
Abstract. This paper studies the inducement of sequentiality in genetic algorithms (GAs) for uniformly-scaled problems. Sequentiality is a phenomenon in which sub-solutions converg...
Kei Ohnishi, Kumara Sastry, Ying-Ping Chen, David ...
GECCO
2004
Springer
166views Optimization» more  GECCO 2004»
16 years 1 days ago
An Effective Chromosome Representation for Evolving Flexible Job Shop Schedules
As the Flexible Job Shop Scheduling Problem (or FJSP) is strongly NP-hard, using an evolutionary approach to find near-optimal solutions requires effective chromosome representatio...
Joc Cing Tay, Djoko Wibowo