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101
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GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 6 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
128
Voted
AI
2006
Springer
15 years 2 months ago
Backward-chaining evolutionary algorithms
Starting from some simple observations on a popular selection method in Evolutionary Algorithms (EAs)--tournament selection--we highlight a previously-unknown source of inefficien...
Riccardo Poli, William B. Langdon
CEC
2008
IEEE
15 years 9 months ago
EA-MP: An evolutionary algorithm for a mine planning problem
In this paper we introduce an evolutionary algorithm for solving a copper mine planning problem. In the last 10 years this realworld problem has been tackled using linear integer p...
María-Cristina Riff, Teddy Alfaro, Xavier B...
128
Voted
CEC
2008
IEEE
15 years 9 months ago
A multi-agent based evolutionary algorithm in non-stationary environments
— In this paper, a multi-agent based evolutionary algorithm (MAEA) is introduced to solve dynamic optimization problems. The agents simulate living organism features and co-evolv...
Yang Yan, Hongfeng Wang, Dingwei Wang, Shengxiang ...
101
Voted
CEC
2007
IEEE
15 years 9 months ago
On improving approximate solutions by evolutionary algorithms
Abstract—Hybrid methods are very popular for solving problems from combinatorial optimization. In contrast to this the theoretical understanding of the interplay of different opt...
Tobias Friedrich, Jun He, Nils Hebbinghaus, Frank ...