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» Evolutionary multiobjective optimization
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GECCO
2005
Springer
158views Optimization» more  GECCO 2005»
15 years 7 months ago
Transition models as an incremental approach for problem solving in evolutionary algorithms
This paper proposes an incremental approach for building solutions using evolutionary computation. It presents a simple evolutionary model called a Transition model in which parti...
Anne Defaweux, Tom Lenaerts, Jano I. van Hemert, J...
GECCO
2003
Springer
15 years 6 months ago
Generalization of Dominance Relation-Based Replacement Rules for Memetic EMO Algorithms
In this paper, we generalize the replacement rules based on the dominance relation in multiobjective optimization. Ordinary two replacement rules based on the dominance relation ar...
Tadahiko Murata, Shiori Kaige, Hisao Ishibuchi
AHS
2007
IEEE
210views Hardware» more  AHS 2007»
15 years 8 months ago
MOVES: A Modular Framework for Hardware Evolution
In this paper, we present a framework that supports experimenting with evolutionary hardware design. We describe the framework’s modules for composing evolutionary optimizers an...
Paul Kaufmann, Marco Platzner
EMO
2001
Springer
107views Optimization» more  EMO 2001»
15 years 6 months ago
Reducing Local Optima in Single-Objective Problems by Multi-objectivization
One common characterization of how simple hill-climbing optimization methods can fail is that they become trapped in local optima - a state where no small modi cation of the curren...
Joshua D. Knowles, Richard A. Watson, David Corne
CEC
2010
IEEE
15 years 2 months ago
Two-stage based ensemble optimization for large-scale global optimization
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...
Yu Wang, Bin Li