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CORR
2004
Springer
87views Education» more  CORR 2004»
13 years 8 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
2005
Springer
125views Optimization» more  GECCO 2005»
14 years 2 months ago
Improving EA-based design space exploration by utilizing symbolic feasibility tests
This paper will propose a novel approach in combining Evolutionary Algorithms with symbolic techniques in order to improve the convergence of the algorithm in the presence of larg...
Thomas Schlichter, Christian Haubelt, Jürgen ...
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 3 months ago
ICSPEA: evolutionary five-axis milling path optimisation
ICSPEA is a novel multi-objective evolutionary algorithm which integrates aspects from the powerful variation operators of the Covariance Matrix Adaptation Evolution Strategy (CMA...
Jörn Mehnen, Rajkumar Roy, Petra Kersting, To...
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
PPSC
1997
13 years 10 months ago
Case Studies in Protein Structure Prediction with Real-valued Genetic Algorithms
Accurate and reliable protein structure prediction (PSP) eludes researchers primarily becausethe searchfor theminimumenergyconformeris computationallyintractable. This research di...
Charles E. Kaiser, Laurence D. Merkle, Gary B. Lam...