Biomimicry for optimization, control, and automation - Passino, Kevin M. (London ; New York : Springer, 2005)
Part I: Introduction Challenges in Computer Control and Automation Scientific Foundations for Biomimicry For Further Study Part II: Elements of Decision Making Neural Network Substrates for Control Instincts Rule-Based Control Planning Systems Attentional Systems For Further Study Part III: Learning.-Learning and Control Linear Least Squares Methods Gradient Methods Adaptive Control For Further Study Part IV: Evolution The Genetic Algorithm Stochastic and Non-Gradient Optimization for Design Evolution and Learning: Synergistic Effects For Further Study Part V: Foraging Cooperative Foraging and Search Competitive and Intelligent Foraging For Further Study.
Includes bibliographical references and index.
Keywords: Process control -- Automation; Mathematical optimization