18

Soft Computing Techniques

Richard R. Brooks

Clemson University

18.1    Problem Statement

18.2    Genetic Algorithms

18.3    Simulated Annealing

18.4    TRUST

18.5    Tabu Search

18.6    Artificial Neural Networks

18.7    Fuzzy Logic

18.8    Linear Programming

18.9    Summary

References

18.1    Problem Statement

When trade-offs in an implementation have been identified, many design issues become optimization problems. A very large class of combinatorial optimization problems can be shown to be NP-hard. So that large instances of the problems cannot be solved given current technologies. There is a good chance that it may never be tractable to find the optimal solutions to any of these problems within a reasonable period of time. In spite ...

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