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142
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GECCO
2006
Springer
188views Optimization» more  GECCO 2006»
15 years 7 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
138
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GECCO
2007
Springer
148views Optimization» more  GECCO 2007»
15 years 9 months ago
Exploring the behavior of building blocks for multi-objective variation operator design using predator-prey dynamics
In this paper, we utilize a predator-prey model in order to identify characteristics of single-objective variation operators in the multi-objective problem domain. In detail, we a...
Christian Grimme, Joachim Lepping, Alexander Papas...
143
Voted
ICAI
2003
15 years 5 months ago
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques
Many real-world search and optimization problems naturally involve constraint handling. Recently, quite a few heuristic methods were proposed to solve the nonlinear constrained op...
Zhenyu Yan, Wei Zhi, Lishan Kang
127
Voted
MIDDLEWARE
2007
Springer
15 years 9 months ago
A piggybacking approach to reduce overhead in sensor network gossiping
Many wireless sensor network protocols are employing gossipbased message dissemination, where nodes probabilistically forward messages, to reduce message overhead. We are concerne...
Ercan Ucan, Nathanael Thompson, Indranil Gupta
GECCO
2009
Springer
112views Optimization» more  GECCO 2009»
15 years 10 months ago
Approximating geometric crossover in semantic space
We propose a crossover operator that works with genetic programming trees and is approximately geometric crossover in the semantic space. By defining semantic as program’s eval...
Krzysztof Krawiec, Pawel Lichocki