Problems demanding globally optimal solutions are ubiquitous,
yet many are intractable when they involve constrained functions
having many local optima and interacting, mixed-type variables.
The differential evolution (DE) algorithm is a practical
approach to global numerical optimization which is easy to
understand, simple to implement, reliable, and fast. Packed with
illustrations, computer code, new insights, and practical advice,
this volume explores DE in both principle and practice. It is a
valuable resource for professionals needing a proven optimizer and
for students wanting an evolutionary perspective on global
numerical optimization.
A companion CD includes DE-based optimization software in
several programming languages.
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