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CEC
2011
IEEE
12 years 7 months ago
Oppositional biogeography-based optimization for combinatorial problems
Abstract—In this paper, we propose a framework for employing opposition-based learning to assist evolutionary algorithms in solving discrete and combinatorial optimization proble...
Mehmet Ergezer, Dan Simon
CORR
2010
Springer
99views Education» more  CORR 2010»
13 years 7 months ago
Locating phase transitions in computationally hard problems
We discuss how phase-transitions may be detected in computationally hard problems in the context of anytime algorithms. Treating the computational time, value and utility functions...
B. Ashok, T. K. Patra
SODA
2010
ACM
214views Algorithms» more  SODA 2010»
14 years 4 months ago
A Fourier space algorithm for solving quadratic assignment problems
The quadratic assignment problem (QAP) is a central problem in combinatorial optimization. Several famous computationally hard tasks, such as graph matching, partitioning, and the...
Risi Kondor
FPGA
2006
ACM
224views FPGA» more  FPGA 2006»
13 years 11 months ago
Flexible implementation of genetic algorithms on FPGAs
In this paper, we propose a technique to flexibly implement genetic algorithms for various problems on FPGAs. For the purpose, we propose a basic architecture for GA which consist...
Tatsuhiro Tachibana, Yoshihiro Murata, Naoki Shiba...
GECCO
2007
Springer
437views Optimization» more  GECCO 2007»
14 years 1 months ago
A gestalt genetic algorithm: less details for better search
The basic idea to defend in this paper is that an adequate perception of the search space, sacrificing most of the precision, can paradoxically accelerate the discovery of the mo...
Christophe Philemotte, Hugues Bersini