LEADER 04125nam 22005053 450 001 9910755072303321 005 20231102080227.0 010 $a9783031473692 010 $a3031473698 035 $a(MiAaPQ)EBC30841370 035 $a(Au-PeEL)EBL30841370 035 $a(PPN)272915688 035 $a(CKB)28642496100041 035 $a(Exl-AI)30841370 035 $a(EXLCZ)9928642496100041 100 $a20231102d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMycorrhiza Optimization Algorithm 205 $a1st ed. 210 1$aCham :$cSpringer International Publishing AG,$d2023. 210 4$d©2023. 215 $a1 online resource (84 pages) 225 1 $aSpringerBriefs in Applied Sciences and Technology Series 311 08$aPrint version: Valdez, Fevrier Mycorrhiza Optimization Algorithm Cham : Springer International Publishing AG,c2023 9783031473685 327 $aIntro -- Preface -- Contents -- 1 Introduction to the Mycorrhiza Optimization Algorithm -- References -- 2 Theory for the Mycorrhiza Optimization Algorithm -- 2.1 Optimization -- 2.2 Mycorrhiza Networks Structure and Function -- 2.3 Characteristics of Mycorrhized Plants -- 2.4 The Mother Trees -- 2.5 Wood Wide Web -- References -- 3 Background for the Mycorrhiza Optimization Algorithm -- References -- 4 Problem Definition for Mycorrhiza Algorithm -- References -- 5 CMOA-Continuous Mycorrhiza Optimization Algorithm -- 5.1 CMOA Flowchart -- 5.2 CMOA Pseudocode -- 5.3 Continuous Lotka-Volterra System Equations -- 5.4 CMOA Algorithm Parameters -- 5.5 Benchmark Functions -- 5.6 Case Studies -- 5.6.1 CMOA Predator-Prey Model -- 5.6.2 CMOA Cooperative Model -- 5.6.3 CMOA Competitive Model -- 5.6.4 CMOA Ecosystem Model -- 5.6.5 Results -- 5.6.6 Hypothesis Test -- 5.6.7 Comparative CMOA with Others Methods -- 5.6.8 Results -- 5.6.9 Behavior -- 5.6.10 Convergence -- References -- 6 DMOA-Discrete Mycorrhiza Optimization Algorithm -- 6.1 DMOA Flowchart -- 6.2 DMOA Pseudocode -- 6.3 Discrete Lotka-Volterra System Equations -- 6.4 DMOA Algorithm Parameters -- 6.5 Case Studies -- 6.5.1 DMOA Ecosystem Model -- 6.5.2 Results -- 6.5.3 Comparative DMOA with Other Methods -- 6.5.4 Results -- 6.5.5 Hypothesis Test -- 6.5.6 Comparative CMOA with DMOA -- 6.5.7 Behavior Comparative with Other Methods -- 6.5.8 Behavior Comparative CMOA Versus DMOA -- 6.5.9 Convergence Comparative CMOA Versus DMOA -- References -- 7 Conclusions of the Mycorrhiza Optimization Algorithm -- Index. 330 $aThis book delves into the application of optimization algorithms inspired by mycorrhizal networks in the field of computational intelligence. Authored by Fevrier Valdez, Hector Carreon-Ortiz, and Oscar Castillo, it introduces two innovative algorithms: the Continuous Mycorrhiza Optimization Algorithm (CMOA) and the Discrete Mycorrhiza Optimization Algorithm (DMOA). These algorithms are based on the Lotka-Volterra System Equations and are designed to solve complex optimization problems by mimicking natural systems. Aimed at students, researchers, and professionals in engineering and computer science, the book provides theoretical foundations, detailed algorithmic descriptions, case studies, and comparative analyses of these algorithms. The authors aim to equip readers with tools to enhance efficiency, reduce costs, and improve performance in various domains, including engineering, finance, and machine learning.$7Generated by AI. 410 0$aSpringerBriefs in Applied Sciences and Technology Series 606 $aComputational intelligence$7Generated by AI 606 $aAlgorithms$7Generated by AI 615 0$aComputational intelligence. 615 0$aAlgorithms. 700 $aValdez$b Fevrier$0763074 701 $aCarreon-Ortiz$b Hector$01436302 701 $aCastillo$b Oscar$0762265 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910755072303321 996 $aMycorrhiza Optimization Algorithm$93594845 997 $aUNINA