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Dynamic Problems and Nature Inspired Meta-Heuristics
2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006Biological systems are, by their very nature, adaptive. However, the meta-heuristic search algorithms inspired by them have mainly been applied to static problems (i.e., problems that do not change while they are being solved). Recently, a greater body of work has been completed on the newer meta-heuristics, particularly ant colony optimisation ...
Hendtlass, Tim +2 more
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Meta-heuristic bus transportation algorithm
Iran Journal of Computer Science, 2018Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
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Metaheuristic algorithms represent a key area of optimization research that generates interest for many academicians and researchers in today's technology landscape. Researchers have been using these methods as a problem-solving approach for many decades when applied to combinatorial optimization problems, which has now grown into a significant ...
Arshiya Begum, Asfia Sabahath
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Arshiya Begum, Asfia Sabahath
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Parallel Strategies for Meta-Heuristics
2006We present a state-of-the-art survey of parallel meta-heuristic developments and results, discuss general design and implementation principles that apply to most meta-heuristic classes, instantiate these principles for the three meta-heuristic classes currently most extensively used—genetic methods, simulated annealing, and tabu search, and identify a ...
Teodor Gabriel Crainic, Michel Toulouse
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2014
Navigation is a crucial task for mobile robots driving through dynamic environments. Besides the difficulties involved in finding a way from a starting to some goal location, the problem gets more difficult if unknown objects, dynamics of the robotic vehicle and uncertainties from sensor readings have to be taken into account.
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Navigation is a crucial task for mobile robots driving through dynamic environments. Besides the difficulties involved in finding a way from a starting to some goal location, the problem gets more difficult if unknown objects, dynamics of the robotic vehicle and uncertainties from sensor readings have to be taken into account.
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Teaching meta‐heuristics within virtual learning environments
International Transactions in Operational Research, 2004AbstractModern education of operations research and management science (OR/MS) can greatly benefit from interactive learning methods in order to build and develop modeling and problem‐solving skills. In this paper we consider the teaching of meta‐heuristics as an important part of OR/MS with significant recent interest.
Reiners, T., Voß, S.
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Heuristic and Meta-Heuristic Optimization
2016This chapter deals with the fundamentals of the optimization. The concepts of stochastic optimization and how the stochastic optimization is advantageous over the deterministic approaches are described in Sect. 3.2. Heuristic and meta-heuristic optimization techniques are defined in Sect.
Prajna Kunche, K. V. V. S. Reddy
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1998
We present a state-of-the-art survey of parallel meta-heuristic strategies, developments, and results. We discuss general design and implementation principles that apply to most meta-heuristic classes and instantiate these principles for neighborhood and population-based meta-heuristics.
Teodor Gabriel Crainic, Michel Toulouse
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We present a state-of-the-art survey of parallel meta-heuristic strategies, developments, and results. We discuss general design and implementation principles that apply to most meta-heuristic classes and instantiate these principles for neighborhood and population-based meta-heuristics.
Teodor Gabriel Crainic, Michel Toulouse
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Meta-Heuristic and Non-Meta-Heuristic Energy-Efficient Load Balancing Algorithms in Cloud Computing
2020The number of users of cloud computing services is drastically increasing, thereby increasing the size of data centers across the globe. In virtue of it, the consumption of power and energy is a major concern for system designers and developers. Their goal is now to develop power and energy-efficient products at the same time maintaining the quality ...
Rojalina Priyadarshini +2 more
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Image Segmentation Using Meta-heuristic Algorithms
2018 International Conference on Computing, Power and Communication Technologies (GUCON), 2018In this paper, inter-class variance of the two classes of image pixels formed on either side of the threshold value is maximized to perform image segmentation. This process has been automated by the use of evolutionary meta-heuristic algorithms such as Bat Algorithm (BA), Cuckoo Search Algorithm (CSA) and Interior Search Algorithm (ISA).
Varun Saxena +2 more
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