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GECCO
2008
Springer
120views Optimization» more  GECCO 2008»
15 years 19 days ago
A robust evolutionary framework for multi-objective optimization
Evolutionary multi-objective optimization (EMO) methodologies, suggested in the beginning of Nineties, focussed on the task of finding a set of well-converged and well-distribute...
Kalyanmoy Deb
GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 3 months ago
Dynamic multi-objective optimization with evolutionary algorithms: a forward-looking approach
This work describes a forward-looking approach for the solution of dynamic (time-changing) problems using evolutionary algorithms. The main idea of the proposed method is to combi...
Iason Hatzakis, David Wallace
TEC
2010
193views more  TEC 2010»
14 years 6 months ago
Chemical-Reaction-Inspired Metaheuristic for Optimization
-- We encounter optimization problems in our daily lives and in various research domains. Some of them are so hard that we can, at best, approximate the best solutions with (meta-)...
Albert Y. S. Lam, Victor O. K. Li
ISCC
2005
IEEE
143views Communications» more  ISCC 2005»
15 years 5 months ago
Approximating Optimal Multicast Trees in Wireless Multihop Networks
— We study the problem of computing minimal cost multicast trees in multi-hop wireless mesh networks. This problem is known as the Steiner tree problem, and it has been widely st...
Pedro M. Ruiz, Antonio F. Gómez-Skarmeta
PPDP
2005
Springer
15 years 5 months ago
Heuristics, optimizations, and parallelism for protein structure prediction in CLP(FD)
The paper describes a constraint-based solution to the protein folding problem on face-centered cubic lattices—a biologically meaningful approximation of the general protein fol...
Alessandro Dal Palù, Agostino Dovier, Enric...