Ebook: Metaheuristics for Scheduling in Industrial and Manufacturing Applications
- Tags: Appl.Mathematics/Computational Methods of Engineering, Artificial Intelligence (incl. Robotics), Information Systems Applications (incl.Internet)
- Series: Studies in Computational Intelligence 128
- Year: 2008
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments.
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments.
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments.
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
Content:
Front Matter....Pages I-XXIII
Exact, Heuristic and Meta-heuristic Algorithms for Solving Shop Scheduling Problems....Pages 1-40
Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems....Pages 41-59
On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem....Pages 61-89
A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date....Pages 91-103
Deterministic Search Algorithm for Sequencing and Scheduling....Pages 105-124
Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling....Pages 125-144
Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem....Pages 145-167
Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study....Pages 169-210
Hybrid Heuristic Approaches for Scheduling in Reconfigurable Manufacturing Systems....Pages 211-253
A Genetic Algorithm for Railway Scheduling Problems....Pages 255-276
Modelling Process and Supply Chain Scheduling Using Hybrid Meta-heuristics....Pages 277-300
Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling....Pages 301-325
Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments....Pages 327-342
Back Matter....Pages 343-346
During the past decades scheduling has been among the most studied optimization problems and it is still an active area of research! Scheduling appears in many areas of science, engineering and industry and takes different forms depending on the restrictions and optimization criteria of the operating environments.
This book deals with the application of various novel metaheuristics in scheduling. Addressing the various issues of scheduling in industrial and manufacturing applications is the novelty of this edited volume. Important features include the detailed overview of the various novel metaheuristic scheduling approaches, excellent coverage of timely, advanced scheduling topics, state-of-the-art theoretical research and application developments and chapters authored by pioneers in the field. Academics, scientists as well as engineers engaged in research, development and scheduling will find the comprehensive coverage of this book invaluable.
Content:
Front Matter....Pages I-XXIII
Exact, Heuristic and Meta-heuristic Algorithms for Solving Shop Scheduling Problems....Pages 1-40
Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems....Pages 41-59
On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem....Pages 61-89
A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date....Pages 91-103
Deterministic Search Algorithm for Sequencing and Scheduling....Pages 105-124
Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling....Pages 125-144
Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem....Pages 145-167
Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study....Pages 169-210
Hybrid Heuristic Approaches for Scheduling in Reconfigurable Manufacturing Systems....Pages 211-253
A Genetic Algorithm for Railway Scheduling Problems....Pages 255-276
Modelling Process and Supply Chain Scheduling Using Hybrid Meta-heuristics....Pages 277-300
Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling....Pages 301-325
Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments....Pages 327-342
Back Matter....Pages 343-346
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