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CEC
2011
IEEE
14 years 6 months ago
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems
—Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in o...
Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam
CEC
2007
IEEE
16 years 12 days ago
Solving multimodal problems via multiobjective techniques with Application to phase equilibrium detection
Abstract— For solving multimodal problems by means of evolutionary algorithms, one often resorts to multistarts or niching methods. The latter approach the question: ‘What is e...
Mike Preuss, Günter Rudolph, Feelly Tumakaka
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
16 years 7 days ago
Evolutionary algorithms and matroid optimization problems
We analyze the performance of evolutionary algorithms on various matroid optimization problems that encompass a vast number of efficiently solvable as well as NP-hard combinatoria...
Joachim Reichel, Martin Skutella
NMA
2010
15 years 4 months ago
Metaheuristics for the Asymmetric Hamiltonian Path Problem
One of the most important applications of the Asymmetric Hamiltonian Path Problem is in scheduling. In this paper we describe a variant of this problem, and develop both a mathemat...
João Pedro Pedroso
IEAAIE
2005
Springer
15 years 11 months ago
Structural Advantages for Ant Colony Optimisation Inherent in Permutation Scheduling Problems
When using a constructive search algorithm, solutions to scheduling problems such as the job shop and open shop scheduling problems are typically represented as permutations of the...
James Montgomery, Marcus Randall, Tim Hendtlass