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» Evolutionary multiobjective optimization
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121
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JMLR
2008
92views more  JMLR 2008»
15 years 2 months ago
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
This paper presents the dynamics of multiple learning agents from an evolutionary game theoretic perspective. We provide replicator dynamics models for cooperative coevolutionary ...
Liviu Panait, Karl Tuyls, Sean Luke
107
Voted
PR
2008
131views more  PR 2008»
15 years 2 months ago
A memetic algorithm for evolutionary prototype selection: A scaling up approach
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Salvador García, José Ramón C...
LION
2007
Springer
139views Optimization» more  LION 2007»
15 years 8 months ago
Evolution of Fitness Functions to Improve Heuristic Performance
In this paper we introduce the variable fitness function which can be used to control the search direction of any search based optimisation heuristic where more than one objective ...
Stephen Remde, Peter I. Cowling, Keshav P. Dahal, ...
112
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ISCAS
2006
IEEE
119views Hardware» more  ISCAS 2006»
15 years 8 months ago
Finite state machine state assignment for area and power minimization
— In this paper, we address the problem of FSM state assignment to minimize area and power. The objectives are targeted as single/independent as well as multi-objective optimizat...
Aiman H. El-Maleh, Sadiq M. Sait, F. Nawaz Khan
124
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EUROGP
2004
Springer
145views Optimization» more  EUROGP 2004»
15 years 8 months ago
Toward an Alternative Comparison between Different Genetic Programming Systems
In this paper, we use multi-objective techniques to compare different genetic programming systems, permitting our comparison to concentrate on the effect of representation and sepa...
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Hu...