Results 221 to 230 of about 17,999 (266)

A meta heuristic for graph drawing

Proceedings of the working conference on Advanced visual interfaces, 2000
The 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
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Meta-heuristics: The State of the Art

2001
Meta-heuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics and science in reasonable time horizons. In this paper we give some insight into the state of the art of meta-heuristics. This primarily focuses on the significant progress which general
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Meta heuristic approaches for sentiment analysis

Expert Systems
Abstract On the Internet, online microblogging and social networks have experienced tremendous growth. Millions of individuals share opinions on social networking platforms including Twitter, Facebook, YouTube, and Microblogging sites. Millions of individuals express their thoughts on social platforms namely Twitter, Facebook, YouTube,
Meesala Shobha Rani, Sumathy Subramanian
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Meta Heuristic Algorithm

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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Parallel Strategies for Meta-Heuristics

2006
We 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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A Tutorial on Meta-Heuristics for Optimization

2004
Singapore
Roddick, John Francis, Chu, S-C, Shieh, C-S   +2 more
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Meta–heuristics for Portfolio Optimization: Part I — Review of Meta–heuristics

2023
Kyle Erwin, Andries P. Engelbrecht
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Heuristic and Meta-Heuristic Optimization

2016
This 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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Meta-Heuristics and Channel Assignment

2002
Abstract 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
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Evolutionary and meta-heuristic scheduling

European Journal of Operational Research, 2007
Kay Chen Tan, Edmund K. Burke, Tong Heng Lee   +2 more
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