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CEC
2007
IEEE
15 years 11 months ago
SAT-decoding in evolutionary algorithms for discrete constrained optimization problems
— For complex optimization problems, several population-based heuristics like Multi-Objective Evolutionary Algorithms have been developed. These algorithms are aiming to deliver ...
Martin Lukasiewycz, Michael Glaß, Christian ...
ISICA
2007
Springer
15 years 10 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 4 months ago
An Enhanced Search Technique for Managing Partial Coverage and Free Riding in P2P Networks
This paper presents a Q-learning based scheme for managing the partial coverage problem and the ill effects of free riding in unstructured P2P networks. Based on various parameter ...
Sabu M. Thampi, K. Chandra Sekaran
COCO
2006
Springer
93views Algorithms» more  COCO 2006»
15 years 8 months ago
Making Hard Problems Harder
We consider a general approach to the hoary problem of (im)proving circuit lower bounds. We define notions of hardness condensing and hardness extraction, in analogy to the corres...
Joshua Buresh-Oppenheim, Rahul Santhanam
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
15 years 5 months ago
A parallel evolutionary algorithm for unconstrained binary quadratic problems
In this paper an island model is described for the unconstrained Binary Quadratic Problem (BQP), which can be used with up to 2500 binary variables. Our island model uses a master...
István Borgulya