Population initialization in the context of a biased, problem-specific mutation

Jarosław Arabas , Stanislaw Kozdrowski

Abstract

Several aspects of incorporating domain-specific knowledge into evolutionary computations are discussed. Some interesting properties are described which have been observed during deeper investigations of an algorithm for telecommunication network design. The algorithm was presented by J. Arabas (1995) and compared to other design techniques by S. Kozdrowski et al. (1997) showing comparable or better performance. In this paper, most attention is paid to the proper initialization of the population and to its interference with a knowledge-based mutation operator. Experimental results for several design problems are included to exemplify the observations
Author Jarosław Arabas ISE
Jarosław Arabas,,
- The Institute of Electronic Systems
, Stanislaw Kozdrowski IT
Stanislaw Kozdrowski,,
- The Institute of Telecommunications
Pages769-774
Publication size in sheets0.5
Book , The 1998 IEEE International Conference on Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence, 1998
Keywords in EnglishAlgorithm design and analysis, biased problem-specific mutation, CAD, data structures, domain-specific knowledge, encoding, Equations, evolutionary computation, genetic algorithms, Genetic mutations, interference, knowledge-based mutation operator, mathematical operators, network synthesis, performance, population initialization, robustness, telecommunication computing, telecommunication network design algorithm, telecommunication networks, telecommunication traffic
DOIDOI:10.1109/ICEC.1998.700149
Languageen angielski
Score (nominal)1
Citation count*9 (2018-07-19)
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