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What is Intensification

Encyclopedia of Decision Making and Decision Support Technologies
Intensification is a strategy that encourages a thorough examination of attractive-looking regions in the search space.
Published in Chapter:
Metaheuristics: Heuristic Techniques for Combinatorial Optimization Problems
Stephan Scheuerer (Fraunhofer Center for Applied Research on Technologies for the Logistics Service Industries ATL, Germany)
DOI: 10.4018/978-1-59904-843-7.ch067
Abstract
Decision support systems (DSSs) provide modern solution techniques that help the decision maker to find the best solution to a problem. These embedded solution techniques include and combine, but are not limited to, simulation, exact optimization methods, and heuristics. Especially in the field of heuristics, recent advances in metaheuristic methods have proved to be remarkably effective so that metaheuristics are nowadays the preferred way for solving many types of complex problems, particularly those of combinatorial nature. Some of these problems are, for example, the well-known “traveling salesman” problem, the generalized assignment problem, the set-covering problem, and vehicle and network routing applications. Most of all, metaheuristics allow us to solve real-world problems with a notably high level of complexity. This is where exact methods are often incapable of finding solutions whose qualities are close to that obtained by the leading metaheuristics. Metaheuristic applications with world-class performance can be found in all kinds of areas such as economics, engineering, and natural sciences.
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From Caring to Cared For: Prioritizing an Ethic of Care for Special Educators
Changes in structural and cultural working conditions which increase demands and pressures over time.
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Analyzing Farmers' Learning Process in Sustainable Development: The Case of Organic Paddy Farmers in North Sumatra, Indonesia
An effort to increase agricultural production without expanding the planting area, but by increasing the land productivity (for example by using HYV seeds, closer planting spaces or more chemical fertilizers.
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Efficient Optimization Using Metaheuristics
Exploitation of already found accurate solutions to increase their quality.
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Using Metaheuristics as Soft Computing Techniques for Efficient Optimization
Exploitation of already found accurate solutions to increase their quality.
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