Results 241 to 250 of about 20,360 (272)
Some of the next articles are maybe not open access.
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.
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
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
openaire +1 more source
Meta-Heuristics and Channel Assignment
2002Abstract The channel (or frequency) assignment problem CAP (or FAP) arises in various forms and is a computationally hard problem to solve. In the 1960s and 1970s the effort was directed at developing simple greedy methods, heuristic methods (Zoellner and Beall 1977; Box 1978), and in very specialized cases, exact methods.
Stephen Hurley, Derek Smith
openaire +1 more source
Meta-heuristic approach to proportional fairness
Evolutionary Intelligence, 2012Proportional fairness is a concept from resource sharing tasks among n users, where each user receives at least 1/n of her or his total value of the infinitely divisible resource. Here we provide an approach to proportional fairness that allows its extension to discrete domains, as well as for the direct application of evolutionary computation to ...
Mario Köppen +3 more
openaire +1 more source
A meta heuristic for graph drawing
Proceedings of the working conference on Advanced visual interfaces, 2000The problem of finding a pleasant layout for a given graph is a key challenge in the field of information visualization. For graphs that are biased towards a particular property such as tree-like, star-like, or bipartite, a layout algorithm can produce excellent layouts—if this property is actually detected.Typically, a graph may not be of such a ...
Oliver Niggemann, Benno Stein
openaire +1 more source
Evolutionary Computation and Meta-heuristics
2020This chapter presents several methods of evolutionary computation and meta-heuristics. Evolutionary computation is a computation technique that mimics the evolutionary mechanism of life to select, deform, and convolute data structures. Because of its high versatility, its applications are found in various fields.
openaire +1 more source
Designing Parallel Meta-Heuristic Methods
2014Meta-heuristics represent powerful tools for addressing hard combinatorial optimization problems. However, real life instances usually cannot be treated efficiently in “reasonable” computing times. Moreover, a major issue in meta-heuristic design and calibration is to provide high performance solutions for a variety of problems.
Teodor Gabriel Crainic +2 more
openaire +1 more source