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» Nature inspired genetic algorithms for hard packing problems
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FOCS
2009
IEEE
13 years 11 months ago
Symmetry and Approximability of Submodular Maximization Problems
Abstract— A number of recent results on optimization problems involving submodular functions have made use of the ”multilinear relaxation” of the problem [3], [8], [24], [14]...
Jan Vondrák
CEC
2009
IEEE
13 years 11 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
PPSN
2000
Springer
13 years 8 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
ECAL
2007
Springer
13 years 11 months ago
Symbiosis, Synergy and Modularity: Introducing the Reciprocal Synergy Symbiosis Algorithm
Symbiosis, the collaboration of multiple organisms from different species, is common in nature. A related phenomenon, symbiogenesis, the creation of new species through the genetic...
Rob Mills, Richard A. Watson
ISCI
2008
117views more  ISCI 2008»
13 years 4 months ago
Search based software testing of object-oriented containers
Automatic software testing tools are still far from ideal for real world object-oriented (OO) software. The use of nature inspired search algorithms for this problem has been inve...
Andrea Arcuri, Xin Yao