1 August 1991 Step towards optimal topology of communication networks
Author Affiliations +
Genetic algorithms are adaptive algorithms which find solutions to problems by an evolutionary process based on natural selection. They can be used to find approximate solutions to optimization problems in cases where finding the precise optimum is prohibitively expensive, or where no algorithm is known. This paper discusses the use of (nonstandard) genetic algorithms for solving an optimization problem for a communication network. In the implementation of the system, a graph representation of a solution of the problem was used, as opposed to the representations based on bit strings (as is done in most work on genetic algorithms). This work is also a part of a larger project to create a new programming environment to support all kinds of optimization problems.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zbigniew Michalewicz, Zbigniew Michalewicz, } "Step towards optimal topology of communication networks", Proc. SPIE 1470, Data Structures and Target Classification, (1 August 1991); doi: 10.1117/12.44844; https://doi.org/10.1117/12.44844


Revisiting evolutionary programming
Proceedings of SPIE (March 24 1998)
Evolutionary algorithm in group theory
Proceedings of SPIE (March 10 2002)
Application of evolutionary computation in ECAD problems
Proceedings of SPIE (October 12 1998)
Genetic algorithm for disassembly process planning
Proceedings of SPIE (February 10 2002)

Back to Top