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» On the Evolution of Evolutionary Algorithms
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IJCAI
1993
15 years 8 months ago
Evolutionary Learning Strategy using Bug-Based Search
We introduce a new approach to GA (Genetic Algorithms) based problem solving. Earlier GAs did not contain local search (i.e. hill climbing) mechanisms, which led to optimization d...
Hitoshi Iba, Tetsuya Higuchi, Hugo de Garis, Taisu...
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
16 years 7 days ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
IPPS
1999
IEEE
15 years 11 months ago
Evolution-Based Scheduling of Fault-Tolerant Programs on Multiple Processors
The paper introduces a family of scheduling problems called fault-tolerant programs scheduling FTPS. Since FTPS problems are, in general, computationally di cult, a challenge is to...
Piotr Jedrzejowicz, Ireneusz Czarnowski, Henryk Sz...
ECAI
2008
Springer
15 years 8 months ago
A Formal Approach for RDF/S Ontology Evolution
Abstract. In this paper, we consider the problem of ontology evolution in the face of a change operation. We devise a general-purpose algorithm for determining the effects and side...
George Konstantinidis, Giorgos Flouris, Grigoris A...
CEC
2011
IEEE
14 years 6 months ago
Differential evolution with multiple strategies for solving CEC2011 real-world numerical optimization problems
—Over the last two decades, many Differential Evolution (DE) strategies have been introduced for solving Optimization Problems. Due to the variability of the characteristics in o...
Saber M. Elsayed, Ruhul A. Sarker, Daryl Essam