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The Fundamentals of Search Algorithms

The Fundamentals of Search Algorithms

Robert A. Bohm (ed)
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Heuristic local search algorithms are used to find “good” solutions to the NP-hard combinatorial optimization problems that cannot be solved using analytical methods. Chapter one discusses the characterization and computation of heuristic local search algorithm for the Traveling Salesman Problem (TSP) from the perspective of dynamical systems. The purpose of chapter 2 is to show the practical application of CBIR technology in the security and protection of personal data, access to classified documents and objects, identification of illegal attacks that are part of the social life of the present and future of mankind. Continuous search space problems are difficult problems to solve because the number of solutions is infinite. Moreover, the search space gets more complex as we add constraints to the problem. In this context, chapter 3 aims to show the usage of the differential evolution algorithm for solving continuous search space problems using unconstrained functions and a constrained real-world problem.
Year:
2021
Publisher:
Nova Science Pub Inc
Language:
english
Pages:
114
ISBN 10:
1536192465
ISBN 13:
9781536192469
Series:
Computer science, technology and applications
File:
PDF, 9.88 MB
IPFS:
CID , CID Blake2b
english, 2021
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