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What is Meta-Heuristic Algorithms

Handbook of Research on Swarm Intelligence in Engineering
It is basically as an iterative search process used to explore the search space to find optimal solutions.
Published in Chapter:
Quantum Behaved Swarm Intelligent Techniques for Image Analysis: A Detailed Survey
Sandip Dey (Camellia Institute of Technology, India), Siddhartha Bhattacharyya (RCC Institute of Information Technology, India), and Ujjwal Maulik (Jadavpur University, India)
Copyright: © 2015 |Pages: 39
DOI: 10.4018/978-1-4666-8291-7.ch001
Abstract
In this chapter, an exhaustive survey of quantum behaved techniques on swarm intelligent is presented. The techniques have been categorized into different classes, and in conclusion, a comparison is made according to the benefits of the approaches taken for review. The above-mentioned techniques are classified based on the information they exploit, for instance, neural network related, meta-heuristic and evolutionary algorithm related, and other distinguished approaches are considered. Neural Network-Based Approaches exhibit a few brain-like activities, which are programmatically complicated, for instance, learning, optimization, etc. Meta-Heuristic Approaches update solution generation-wise for optimization, and the approaches differ based on the problem definition.
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More Results
Modified Multi-Grey Wolf Pack for Vital Sign-Based Disease Identification
A metaheuristic is a higher-level procedure or heuristic designed to find a good solution to an optimization problem, especially with incomplete or imperfect information or limited computational capacity.
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