Meta-heuristic algorithms for advanced distributed systems
"The meta-heuristic techniques may be applied to optimize distributed systems so as to increase effectiveness and minimize cost and time. Various kinds of meta-heuristic techniques are derived from nature and hence a lot of development is going on in this field. The most common meta-heuristic t...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey
Wiley
2024
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| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "The meta-heuristic techniques may be applied to optimize distributed systems so as to increase effectiveness and minimize cost and time. Various kinds of meta-heuristic techniques are derived from nature and hence a lot of development is going on in this field. The most common meta-heuristic techniques used for the optimization of distributed system are Genetic Algorithm, Particle Swarm Optimization, Cuckoo Algorithm, Harmony Search Algorithm, Bat Algorithm, and Simulated Annealing. Further, two or more of these optimization techniques may be hybridized to further increase the efficiency of distributed computing systems"-- |
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| Physical Description: | 1 online resource |
| ISBN: | 1394188099 9781394188079 1394188080 9781394188086 9781394188093 1394188072 |