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145
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GECCO
2008
Springer
182views Optimization» more  GECCO 2008»
15 years 3 months ago
Scaling ant colony optimization with hierarchical reinforcement learning partitioning
This paper merges hierarchical reinforcement learning (HRL) with ant colony optimization (ACO) to produce a HRL ACO algorithm capable of generating solutions for large domains. Th...
Erik J. Dries, Gilbert L. Peterson
117
Voted
CEC
2010
IEEE
14 years 11 months ago
Novel multimodal problems and differential evolution with ensemble of restricted tournament selection
Multi-modal optimization refers to locating not only one optimum but a set of locally optimal solutions. Niching is an important technique to solve multi-modal optimization problem...
Bo-Yang Qu, Ponnuthurai Nagaratnam Suganthan
133
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ESA
1998
Springer
108views Algorithms» more  ESA 1998»
15 years 7 months ago
Finding an Optimal Path without Growing the Tree
In this paper, we study a class of optimal path problems with the following phenomenon: The space complexity of the algorithms for reporting the lengths of single-source optimal pa...
Danny Z. Chen, Ovidiu Daescu, Xiaobo Hu, Jinhui Xu
121
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JCST
2008
134views more  JCST 2008»
15 years 2 months ago
Orthogonal Methods Based Ant Colony Search for Solving Continuous Optimization Problems
Research into ant colony algorithms for solving continuous optimization problems forms one of the most significant and promising areas in swarm computation. Although traditional an...
Xiaomin Hu, Jun Zhang, Yun Li
114
Voted
TWC
2008
139views more  TWC 2008»
15 years 2 months ago
Optimal and Suboptimal Power Allocation Schemes for OFDM-based Cognitive Radio Systems
In this paper, we investigate an optimal power loading algorithm for an OFDM-based cognitive radio (CR) system. The downlink transmission capacity of the CR user is thereby maximiz...
Gaurav Bansal, Md. Jahangir Hossain, Vijay K. Bhar...