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GECCO
2005
Springer
100views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolutionary tree genetic programming
We introduce a clustering-based method of subpopulation management in genetic programming (GP) called Evolutionary Tree Genetic Programming (ETGP). The biological motivation behin...
Ján Antolík, William H. Hsu
GECCO
2000
Springer
131views Optimization» more  GECCO 2000»
14 years 23 days 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
2004
Springer
114views Optimization» more  GECCO 2004»
14 years 2 months ago
Evolutionary Drug Scheduling Model for Cancer Chemotherapy
This paper presents a modified optimal control model of drug scheduling in cancer chemotherapy and a new adaptive elitist-population based genetic algorithm (AEGA) to solve it. Wo...
Yong Liang, Kwong-Sak Leung, Tony Shu Kam Mok
CORR
2004
Springer
87views Education» more  CORR 2004»
13 years 9 months ago
Exploring tradeoffs in pleiotropy and redundancy using evolutionary computing
Evolutionary computation algorithms are increasingly being used to solve optimization problems as they have many advantages over traditional optimization algorithms. In this paper...
Matthew J. Berryman, Wei-Li Khoo, Hiep Nguyen, Eri...
GECCO
2010
Springer
154views Optimization» more  GECCO 2010»
14 years 1 months ago
Evolutionary learning in networked multi-agent organizations
This study proposes a simple computational model of evolutionary learning in organizations informed by genetic algorithms. Agents who interact only with neighboring partners seek ...
Jae-Woo Kim