A Cooperative Hybrid Quantum-Inspired Salp Swarm and Differential Evolution for Solving CEC 2022 Benchmark and Controller Placement Problems in Software Defined Networks

This paper introduces a Cooperative Model of Salp Swarm Optimization (CMSSO), which combines four algorithms: Salp Swarm Algorithm (SSA), Elite Opposition Learning-based SSA (EOSSA), Elite Opposition Quantum-inspired SSA (EQSSA), and Individual Dependent Approach for Differential Evolution (IDA-DE)....

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Bibliographic Details
Published in:	IEEE access Vol. 12; pp. 90331 - 90344
Main Authors:	Pathak, Sanjai, Mani, Ashish, Chatterjee, Amlan
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Benchmark testing Benchmarks Computational intelligence Control systems controller placement problem Controllers Evolutionary algorithms Evolutionary computation Genetic algorithms Heuristic methods Machine learning Multiobjective combinatorial optimization Multiple objective analysis Network latency Optimization Particle swarm optimization Placement Quality of service architectures Quantum computing SDN Search problems SSA Switches
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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