Results 191 to 200 of about 14,756 (239)
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2014
Given the NP—hard nature of the Resource Constrained Project Scheduling Problem (RCPSP), obtaining an optimal solution for larger instances of the problem becomes computationally intractable. Metaheuristic approaches are therefore commonly used to provide near—optimal solutions for larger instances of the problem.
Agarwal A., Colak S., Erenguc S.
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Given the NP—hard nature of the Resource Constrained Project Scheduling Problem (RCPSP), obtaining an optimal solution for larger instances of the problem becomes computationally intractable. Metaheuristic approaches are therefore commonly used to provide near—optimal solutions for larger instances of the problem.
Agarwal A., Colak S., Erenguc S.
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Metaheuristics and engineering
AIP Conference Proceedings, 2013In this paper it is intended to present a general look to metaheuristic algorithms and their applications to engineering problems. An assessment is given of metaheuristic algorithms to emphasize their common characteristics. A short literature survey is presented showing engineering problems that are solved by metaheuristic algorithms.
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Parameter Tuning of Metaheuristics Using Metaheuristics
Advanced Science Letters, 2013Ant colony optimization; Genetic algorithms; Metaheuristics; Optimization; Parameter setting; Scatter ...
Broderick Crawford +4 more
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Metaheuristics—the metaphor exposed
International Transactions in Operational Research, 2013AbstractIn recent years, the field of combinatorial optimization has witnessed a true tsunami of “novel” metaheuristic methods, most of them based on a metaphor of some natural or man‐made process. The behavior of virtually any species of insects, the flow of water, musicians playing together – it seems that no idea is too far‐fetched to serve as ...
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A Cooperative System of Metaheuristics
7th International Conference on Hybrid Intelligent Systems (HIS 2007), 2007Hybrid systems give more flexible mechanisms for solving complex problems that can be very difficult to solve using less tolerant approaches. Therefore, a hybrid system will be the most suitable tool in order to cope with the algorithm-instance problem, which says that it is possible that an algorithm and its parameters that obtain good results for an ...
José Manuel Cadenas +2 more
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2008
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.
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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.
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A review of metaheuristics in robotics
Computers & Electrical Engineering, 2015Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They gained tremendous popularity in many application domains. Robotics on the other hand is a wide research discipline that embraces artificial intelligence in a complex individually-thinking robot and distributed robots.
Simon Fong 0001 +2 more
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Metaheuristics for Medicine and Biology
2017This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the
Talbi, El-Ghazali, Nakib, Amir
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Stochastic Search in Metaheuristics
2018Stochastic search is a key mechanism underlying many metaheuristics. The chapter starts with the presentation of a general framework algorithm in the form of a stochastic search process that contains a large variety of familiar metaheuristic techniques as special cases.
Gutjahr Walter J, Montemanni Roberto
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