Population initialization in the context of a biased, problem-specific mutation
Jarosław Arabas , Stanislaw Kozdrowski
AbstractSeveral 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
|Publication size in sheets||0.5|
|Book||, The 1998 IEEE International Conference on Evolutionary Computation Proceedings, 1998. IEEE World Congress on Computational Intelligence, 1998|
|Keywords in English||Algorithm 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|
|Citation count*||9 (2018-02-23)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.