×

Cam shape optimization by genetic algorithm. (English) Zbl 1058.68114

Acta Wasaensia 70, Computer Science 2. Vaasa: Universitas Wasaensis (Diss.) (ISBN 951-683-801-4/pbk). 247 p. (1999).
This book presents a University thesis at the University of Vaasa, Finland, on a genetic algorithm for the cam shape design problem in mechanical engineering.
The first chapter presents an introduction to the problem of cam design, which translates to a 2-dimensional free form boundary shape optimization problem. The problem is a multi-objective, multi-constrained problem with about 20–40 design variables. The general principles of genetic optimization and evolutionary algorithms are also presented in this chapter.
The second and third chapters present in detail the formulation of the research problem and solution. In chapter 5, the problem is extended to the problem of optimization of a diesel fuel injection cam, again using a genetic approach.
In chapter 6, a distributed version of the algorithm is presented, where the problem is split into several computer workstations which work in parallel, thus speeding up the solution time (a master-slave model).
The last part of the thesis concentrates on generalized approaches to cam shape optimization using evolutionary algorithms. The thesis concludes with a section on conclusions and recommendations for future work, as well as Annexes with some of the Fortran subroutines used.

MSC:

68U07 Computer science aspects of computer-aided design
68U20 Simulation (MSC2010)
68W15 Distributed algorithms
90C59 Approximation methods and heuristics in mathematical programming
68-01 Introductory exposition (textbooks, tutorial papers, etc.) pertaining to computer science
68T05 Learning and adaptive systems in artificial intelligence
68T10 Pattern recognition, speech recognition