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The book gives an introduction to metaheuristics for students and practitioners. It requires no prior knowledge of the field, as the basic concepts are developed step by step from the bottom up using the knapsack problem and therefore allowing the user to concentrate on the main ideas of metaheuristics. The concepts are then expanded to concrete algorithms, which are described in detail. Then a systematization of the algorithms is established and compared with existing classification schemes from literature. The last part of the book deals with the application of popular metaheuristics to two optimization problems from the field of production and logistics, namely the Job Shop Scheduling and the Vehicle Routing Problem, based on examples.

Business logistics -- Data processing. --- Combinatorial optimization. --- Diskrete Optimierung. --- Logistik. --- Production management -- Data processing. --- Production management --- Business logistics --- Combinatorial optimization --- Management --- Mechanical Engineering --- Engineering & Applied Sciences --- Business & Economics --- Management Theory --- Industrial & Management Engineering --- Data processing --- Data processing. --- Optimization, Combinatorial --- Business. --- Production management. --- Operations research. --- Decision making. --- Mathematical optimization. --- Business and Management. --- Operations Management. --- Optimization. --- Operation Research/Decision Theory. --- Combinatorial analysis --- Mathematical optimization --- Operations Research/Decision Theory. --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Manufacturing management --- Industrial management --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book gives an introduction to metaheuristics for students and practitioners. It requires no prior knowledge of the field, as the basic concepts are developed step by step from the bottom up using the knapsack problem and therefore allowing the user to concentrate on the main ideas of metaheuristics. The concepts are then expanded to concrete algorithms, which are described in detail. Then a systematization of the algorithms is established and compared with existing classification schemes from literature. The last part of the book deals with the application of popular metaheuristics to two optimization problems from the field of production and logistics, namely the Job Shop Scheduling and the Vehicle Routing Problem, based on examples.

Operational research. Game theory