%0 Conference Proceedings
%T Swarm Intelligence Algorithm for Microwave Filter Optimization
%+ Laboratoire d'Electromagnétisme et Télécommunication (LET)
%A Chahrazad, Erredir
%A Bouarroudj, Emir
%A Riabi, Mohamed, Lahdi
%Z Part 2: Evolutionary Computation
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 6th IFIP International Conference on Computational Intelligence and Its Applications (CIIA)
%C Oran, Algeria
%Y Abdelmalek Amine
%Y Malek Mouhoub
%Y Otmane Ait Mohamed
%Y Bachir Djebbar
%I Springer International Publishing
%3 Computational Intelligence and Its Applications
%V AICT-522
%P 161-172
%8 2018-05-08
%D 2018
%R 10.1007/978-3-319-89743-1_15
%K Swarm intelligence
%K Spider monkey optimization
%K Social spider optimization
%K Teaching learning based optimization
%K Particle swarm optimization
%K Microwave filter
%Z Computer Science [cs]Conference papers
%X In this paper, three recent swarm intelligence algorithms (spider monkey optimization (SMO), social spider optimization (SSO) and teaching learning based optimization (TLBO)) are proposed to the optimization of microwave filter (H-plane three-cavity filter). The results of convergence and optimization use of these algorithms are compared with the results of the most popular swarm intelligences algorithm, namely particle swarm optimization (PSO) for different common parameters (population size and maximum number of iteration). The results showed validation of the proposed algorithms.
%G English
%Z TC 5
%2 https://inria.hal.science/hal-01913898/document
%2 https://inria.hal.science/hal-01913898/file/467079_1_En_15_Chapter.pdf
%L hal-01913898
%U https://inria.hal.science/hal-01913898
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-CIIA
%~ IFIP-AICT-522