In 1995 the Handbook of Global Optimization (first volume),
edited by R. Horst, and P.M. Pardalos, was published. This second
volume of the Handbook of Global Optimization is comprised of
chapters dealing with modern approaches to global optimization,
including different types of heuristics.
Topics covered in the handbook include various metaheuristics,
such as simulated annealing, genetic algorithms, neural networks,
taboo search, shake-and-bake methods, and deformation methods. In
addition, the book contains chapters on new exact stochastic and
deterministic approaches to continuous and mixed-integer global
optimization, such as stochastic adaptive search, two-phase
methods, branch-and-bound methods with new relaxation and branching
strategies, algorithms based on local optimization, and dynamical
search. Finally, the book contains chapters on experimental
analysis of algorithms and software, test problems, and
applications.
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