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» Solving Demodulation as an Optimization Problem
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152
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CEC
2009
IEEE
15 years 10 months ago
Enhancing MOEA/D with guided mutation and priority update for multi-objective optimization
—Multi-objective optimization is an essential and challenging topic in the domains of engineering and computation because real-world problems usually include several conflicting...
Chih-Ming Chen, Ying-Ping Chen, Qingfu Zhang
155
Voted
SIAMCO
2011
14 years 10 months ago
Asymptotically Optimal Controls for Time-Inhomogeneous Networks
Abstract. A framework is introduced for the identification of controls for single-class timevarying queueing networks that are asymptotically optimal in the so-called uniform acce...
Milica Cudina, Kavita Ramanan
131
Voted
LION
2010
Springer
230views Optimization» more  LION 2010»
15 years 7 months ago
A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D
MOEA/D is a multi-objective metaheuristic which has shown a remarkable performance when solving hard optimization problems. In this paper, we propose a thread-based parallel versio...
Antonio J. Nebro, Juan J. Durillo
152
Voted
SOFSEM
2000
Springer
15 years 7 months ago
Exhaustive Search, Combinatorial Optimization and Enumeration: Exploring the Potential of Raw Computing Power
For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
Jürg Nievergelt
125
Voted
AE
2005
Springer
15 years 9 months ago
An Immunological Algorithm for Global Numerical Optimization
Abstract. Numerical optimization of given objective functions is a crucial task in many real-life problems. The present article introduces an immunological algorithm for continuous...
Vincenzo Cutello, Giuseppe Narzisi, Giuseppe Nicos...