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125
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GECCO
2008
Springer
155views Optimization» more  GECCO 2008»
15 years 4 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
158
Voted
GLOBECOM
2008
IEEE
15 years 10 months ago
Global Optimal Routing, Scheduling and Power Control for Multi-Hop Wireless Networks with Interference
—We consider the problem of joint routing, scheduling and power control in multi-hop wireless networks. We use a linear relation between link capacity and signal to interference ...
Javad Kazemitabar, Vahid Tabatabaee, Hamid Jafarkh...
123
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ITSL
2008
15 years 4 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
GECCO
2010
Springer
180views Optimization» more  GECCO 2010»
15 years 6 months ago
Comparison of NEWUOA with different numbers of interpolation points on the BBOB noisy testbed
In this paper, we study the performances of the NEW Unconstrained Optimization Algorithm (NEWUOA) with different numbers of interpolation points. NEWUOA is a trust region method, ...
Raymond Ros
148
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AMC
2007
129views more  AMC 2007»
15 years 3 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...