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149
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GECCO
2006
Springer
192views Optimization» more  GECCO 2006»
15 years 7 months ago
Optimising cancer chemotherapy using an estimation of distribution algorithm and genetic algorithms
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
Andrei Petrovski, Siddhartha Shakya, John A. W. Mc...
148
Voted
GECCO
2006
Springer
181views Optimization» more  GECCO 2006»
15 years 7 months ago
Robustness in cooperative coevolution
Though recent analysis of traditional cooperative coevolutionary algorithms (CCEAs) casts doubt on their suitability for static optimization tasks, our experience is that the algo...
R. Paul Wiegand, Mitchell A. Potter
129
Voted
GECCO
2000
Springer
138views Optimization» more  GECCO 2000»
15 years 7 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...
135
Voted
OHS
2000
Springer
15 years 7 months ago
Web Site Interface Design: External and Internal Factors
There has been tremendous growth in electronic commerce over the past few years. This growth is expected to sustain momentum in the future. Hence, the Internet has become an essent...
Ahmed Mahfouz
166
Voted
EPS
1995
Springer
15 years 7 months ago
PANIC: A Parallel Evolutionary Rule Based System
PANIC (Parallelism And Neural networks In Classifier systems) is a parallel system to evolve behavioral strategies codified by sets of rules. It integrates several adaptive techni...
Antonella Giani, Fabrizio Baiardi, Antonina Starit...
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