Evolutionary theory, genetic algorithms

Back, T. Evolutionary Algorithms in Theory and Practice Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, New York,... [Pg.171]

Back T (1996) Evolutionary Algorithms in theory and practice evolution strategies, evolutionary programming, genetic algorithms. Oxford University Press, Oxford... [Pg.32]

The methods of simulated annealing (26), genetic algorithms (27), and taboo search (29) are three of the most popular stochastic optimization techniques, inspired by ideas from statistical mechanics, theory of evolutionary biology, and operations research, respectively. They are applicable to our current problem and have been used by researchers for computational library design. Because SA is employed in this chapter, a more-detailed description of the (generalized) SA is given below. [Pg.381]

Evolutionary computation, see Genetic algorithms E-work, 606 Exact algorithms, 2014 Exchange rates, 2401 Excite, 266, 272 Exclusive distribution, 2129 Execution, gulf of, 1018 Executive decision support systems, see Group decision support systems Executive information systems (EIS), 84 Executive sponsorship (of ISE), 22-23 Expansion flexibility, 499 Expectation, principle of (decision theory), 2377-2378... [Pg.2729]