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» On the Convergence of Bound Optimization Algorithms
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 7 months ago
Integrating user preferences with particle swarms for multi-objective optimization
This paper proposes a method to use reference points as preferences to guide a particle swarm algorithm to search towards preferred regions of the Pareto front. A decision maker c...
Upali K. Wickramasinghe, Xiaodong Li
ESA
2005
Springer
99views Algorithms» more  ESA 2005»
15 years 12 months ago
Optimizing a 2D Function Satisfying Unimodality Properties
The number of probes needed by the best possible algorithm for locally or globally optimizing a bivariate function varies substantially depending on the assumptions made about the ...
Erik D. Demaine, Stefan Langerman
AMC
2007
129views more  AMC 2007»
15 years 6 months ago
Multi-objective task allocation in distributed computing systems by hybrid particle swarm optimization
In a distributed computing system (DCS), we need to allocate a number of modules to different processors for execution. It is desired to maximize the processor synergism in order...
Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang, Yi-Te...
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
16 years 18 days ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...
EC
2000
187views ECommerce» more  EC 2000»
15 years 6 months ago
Comparison of Multiobjective Evolutionary Algorithms: Empirical Results
In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function i...
Eckart Zitzler, Kalyanmoy Deb, Lothar Thiele