LEADER 03403nam 2200493 450 001 9910584481603321 005 20230131225416.0 010 $a981-19-3767-2 035 $a(MiAaPQ)EBC7046570 035 $a(Au-PeEL)EBL7046570 035 $a(CKB)24267866300041 035 $a(PPN)263898881 035 $a(EXLCZ)9924267866300041 100 $a20230104h20222022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aButterfly optimization algorithm $etheory and engineering applications /$fTarun Kumar Sharma, Om Prakash Verma 210 1$aSingapore :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (ix, 86 pages) $cillustrations 225 1 $aSpringerBriefs in applied sciences and technology. Computational intelligence,$x2625-3712 311 08$aPrint version: Sharma, Tarun Kumar Butterfly Optimization Algorithm: Theory and Engineering Applications Singapore : Springer,c2022 9789811937668 320 $aIncludes bibliographical references. 327 $aIntro -- Preface -- Contents -- About the Authors -- 1 Butterfly Optimization Algorithm -- 1.1 Introduction -- 1.2 Butterfly Optimization Algorithm (BOA) and Related Literature -- 1.3 Related Work-BOA -- 1.4 Conclusions and Next Study -- References -- 2 Differential Butterfly Optimization Algorithm-A Hybrid Variant -- 2.1 Proposed Algorithm: DBOA -- 2.1.1 Differential Evolution (DE) -- 2.1.2 Concept of Bidirectional Search -- 2.2 Experimental Settings, Constrained Handling and Complexity of DBOA -- 2.2.1 Parameter Settings -- 2.2.2 Computational Analysis and Complexity of DBOA -- 2.2.3 Constraint Handling -- 2.3 Conclusions and Future Study -- References -- 3 Application of DBOA in Structural Engineering Design Problems -- 3.1 Introduction -- 3.2 Test Bed -- 3.2.1 Unconstrained Benchmark Problems [2] -- 3.2.2 Engineering Design Problems -- 3.2.3 Himmelblau's Nonlinear Constrained Optimization Problem [12] -- 3.3 Result Discussions and Analysis -- 3.3.1 Comparative Simulated Results and Analysis on Unconstrained Benchmark Functions -- 3.3.2 Experimental Result of Engineering Design Problems -- 3.3.3 Non Linear Constrained Optimization Problems by Himmelblau's [12] -- 3.4 Conclusions with Future Scope -- References -- 4 Application of DBOA in Pulp and Paper Process Optimization -- 4.1 Introduction -- 4.2 Optimization Problem in Pulp and Paper Manufacturing Process -- 4.2.1 Kraft Pulping -- 4.2.2 Load Allocation to Boilers -- 4.2.3 Drying Process -- 4.2.4 Trim Loss -- 4.3 Result Analysis -- 4.4 Conclusions -- References -- 5 Conclusion and Future Directions -- 5.1 Conclusion of the Work -- 5.2 Future Directions. 410 0$aSpringerBriefs in applied sciences and technology.$pComputational intelligence. 606 $aMathematical optimization 606 $aComputational intelligence 606 $aComputer algorithms 615 0$aMathematical optimization. 615 0$aComputational intelligence. 615 0$aComputer algorithms. 676 $a519.3 700 $aSharma$b Tarun Kumar$01231810 702 $aVerma$b Om Prakash$f1966- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910584481603321 996 $aButterfly optimization algorithm$93000311 997 $aUNINA