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Planning (firm) --- Computer architecture. Operating systems --- Operational research. Game theory --- Network analysis (Planning) --- Production scheduling. --- Analyse de réseau (Planification) --- Ordonnancement (Gestion) --- Network analysis (planning) --- 519.8 --- Production scheduling --- 658.012 --- 681.35 --- 518.5 --- Job scheduling (Production control) --- Job-shop scheduling --- Project scheduling (Production control) --- Scheduling (Management) --- Production control --- Scheduling --- Project networks --- Planning --- Operational research --- Planning in het bedrijf --- Computerarchitectuur. Operating systems --- Operationeel onderzoek. Speltheorie --- Network analysis (Planning). --- 519.8 Operational research --- Analyse de réseau (Planification) --- ELSEVIER-B EPUB-LIV-FT --- System analysis

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Evolutionary scheduling is a vital research domain at the interface of two important sciences - artificial intelligence and operational research. Scheduling problems are generally complex, large scale, constrained, and multi-objective in nature, and classical operational research techniques are often inadequate at solving them effectively. With the advent of computation intelligence, there is renewed interest in solving scheduling problems using evolutionary computational techniques. These techniques, which include genetic algorithms, genetic programming, evolutionary strategies, memetic algorithms, particle swarm optimization, ant colony systems, etc, are derived from biologically inspired concepts and are well-suited to solve scheduling problems since they are highly scalable and flexible in terms of handling constraints and multiple objectives. This edited book gives an overview of many of the current developments in the large and growing field of evolutionary scheduling, and demonstrates the applicability of evolutionary computational techniques to solve scheduling problems, not only to small-scale test problems, but also fully-fledged real-world problems. The intended readers of this book are engineers, researchers, practitioners, senior undergraduates, and graduate students who are interested in the field of evolutionary scheduling.

Evolutionary computation. --- Computer scheduling. --- Computational intelligence. --- Réseaux neuronaux à structure évolutive --- Ordonnancement (Informatique) --- Intelligence informatique --- Evolutionary computation --- Computer scheduling --- Computational intelligence --- Applied Mathematics --- Civil Engineering --- Computer Science --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Intelligence, Computational --- Electronic data processing --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- Computation, Evolutionary --- Scheduling --- Computer science. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Appl.Mathematics/Computational Methods of Engineering. --- Production scheduling --- Time-sharing computer systems --- Neural networks (Computer science) --- Artificial intelligence --- Soft computing --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Engineering --- Engineering analysis --- Mathematical analysis --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Mathematics