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Genetic algorithms : principles and perspectives ; a guide to GA theory

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Genetic Algorithms: Principles and Perspectives : A Guide to GA Theory

Reeves, Colin R.; Rowe, Jonathan E. - 2002 - 1st ed. 2002.

Basic Principles -- Schema Theory -- No Free Lunch for GAs -- GAs as Markov Processes -- The Dynamical Systems Model -- Statistical Mechanics Approximations -- Predicting GA Performance -- Landscapes -- Summary.

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Niederle, Muriel - 2014

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Supply models with feedback features

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Stochastic integer programming : state of the art

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Unforeseen contingencies, property rights, and incomplete contracts

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Stochastic techniques for global optimization : a survey of recent advances

Schoen, Fabio - In: Journal of global optimization : an international … 1 (1991) 3, pp. 207-228

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Review of dynamic optimization methods in renewable natural resource management

Williams, Byron K. - In: Natural resource modeling : the official journal of the … 3 (1989) 2, pp. 137-216

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Non-cooperative bargaining and imperfect competition : a survey

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On the detection of strategic groups and the relation between their occurrence and industry profitability

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