Sciweavers

1972 search results - page 15 / 395
» Evolutionary algorithms and dynamic programming
Sort
View
CEC
2008
IEEE
14 years 1 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 ...
GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
14 years 1 months ago
A multi-objective approach to search-based test data generation
There has been a considerable body of work on search–based test data generation for branch coverage. However, hitherto, there has been no work on multi–objective branch covera...
Kiran Lakhotia, Mark Harman, Phil McMinn
EUROGP
2003
Springer
259views Optimization» more  EUROGP 2003»
14 years 7 days ago
Research of a Cellular Automaton Simulating Logic Gates by Evolutionary Algorithms
This paper presents a method of using genetic programming to seek new cellular automata that perform computational tasks. Two genetic algorithms are used : the first one discovers ...
Emmanuel Sapin, Olivier Bailleux, Jean-Jacques Cha...
PPSN
2004
Springer
14 years 11 days ago
Behavior of Evolutionary Algorithms in Chaotically Changing Fitness Landscapes
We study an evolutionary algorithm used for optimizing in a chaotically changing dynamic environment. The corresponding chaotic non–stationary fitness landscape can be character...
Hendrik Richter
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 12 days ago
Convergence Examples of a Filter-Based Evolutionary Algorithm
Abstract. We describe and critique the convergence properties of filterbased evolutionary pattern search algorithms (F-EPSAs). F-EPSAs implicitly use a filter to perform a multi-...
Lauren M. Clevenger, William E. Hart