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GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 5 months ago
Enhancing differential evolution performance with local search for high dimensional function optimization
In this paper, we proposed Fittest Individual Refinement (FIR), a crossover based local search method for Differential Evolution (DE). The FIR scheme accelerates DE by enhancing...
Nasimul Noman, Hitoshi Iba
CEC
2011
IEEE
14 years 10 days ago
Comparing alternative energy functions for the HP model of protein structure prediction
Abstract—Protein structure prediction is the problem of finding the functional conformation of a protein given only its amino uence. The HP lattice model is an abstract formulat...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
SODA
2012
ACM
183views Algorithms» more  SODA 2012»
13 years 2 months ago
Information dissemination via random walks in d-dimensional space
Henry Lam, Zhenming Liu, Michael Mitzenmacher, Xia...
93
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AEI
2005
99views more  AEI 2005»
15 years 8 days ago
Comparison among five evolutionary-based optimization algorithms
Evolutionary algorithms (EAs) are stochastic search methods that mimic the natural biological evolution and/or the social behavior of species. Such algorithms have been developed ...
Emad Elbeltagi, Tarek Hegazy, Donald E. Grierson
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 6 months ago
Convergence of stochastic search algorithms to gap-free pareto front approximations
Recently, a convergence proof of stochastic search algorithms toward finite size Pareto set approximations of continuous multi-objective optimization problems has been given. The...
Oliver Schütze, Marco Laumanns, Emilia Tantar...