001463168 000__ 05691cam\a22006257i\4500 001463168 001__ 1463168 001463168 003__ OCoLC 001463168 005__ 20230601003308.0 001463168 006__ m\\\\\o\\d\\\\\\\\ 001463168 007__ cr\cn\nnnunnun 001463168 008__ 230413s2023\\\\si\a\\\\o\\\\\101\0\eng\d 001463168 020__ $$a9789811992858$$qelectronic book 001463168 020__ $$a9811992851$$qelectronic book 001463168 020__ $$z9789811992841 001463168 020__ $$z9811992843 001463168 0247_ $$a10.1007/978-981-19-9285-8$$2doi 001463168 035__ $$aSP(OCoLC)1375683640 001463168 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dUKAHL$$dYDX 001463168 049__ $$aISEA 001463168 050_4 $$aTA347.A78$$bI58 2023 001463168 08204 $$a620.00285/63$$223/eng/20230413 001463168 1112_ $$aInternational Conference on Advanced Engineering Optimization Through Intelligent Techniques$$d(2022 :$$cSurat, India) 001463168 24510 $$aAdvanced engineering optimization through intelligent techniques :$$bselect proceedings of AEOTIT 2022 /$$cRavipudi Venkata Rao, Jan Taler, editors. 001463168 264_1 $$aSingapore :$$bSpringer,$$c2023. 001463168 300__ $$a1 online resource (573 pages) :$$billustrations (black and white, and color). 001463168 336__ $$atext$$btxt$$2rdacontent 001463168 337__ $$acomputer$$bc$$2rdamedia 001463168 338__ $$aonline resource$$bcr$$2rdacarrier 001463168 4901_ $$aLecture notes in mechanical engineering 001463168 500__ $$aConference proceedings. 001463168 5050_ $$aChapter 1. Process parameters optimization by Taguchi method and Whale optimization algorithm of Lathe turning on EN24 steel for prediction of surface roughness -- Chapter 2. Optimization of TWR and SR of superalloy Al/9.6B4C in EDM using advanced optimization techniques -- Chapter 3. Simulation and comparative analysis of sardar sarovar reservoir by meta-heuristic algorithm -- Chapter 4. Determination of Thickness and Refractive Index of Antireflection Coating Thin-Films from Reflectivity Spectrum using Jaya Optimization Algorithm -- Chapter 5. Optimization of worm gear drive for improving efficiency using RCGA -- Chapter 6. Comparing a Parameter Less Technique Jaya with Parameters Based Evolutionary Algorithms -- Chapter 7. Optimal Sizing of PV/Wind/Battery stand-alone hybrid renewable energy system using TLBO algorithm -- Chapter 8. MOJAYA optimization of machining parameters coupled with R-method for the generation of micro holes on GFRP composite using an in-house developed -ECDM system -- Chapter 9. Enhanced Fruit Fly Optimization Algorithm for Node Capture Attack in WSN -- Chapter 10. Optimization of Construction Scheduling with Rao Algorithm -- Chapter 11. Using Meta-Heuristic Optimization Methods in Solving Time-Cost-Quality Trade-off Problems -- Chapter 12. A Particle Swarm Optimization based model for Quality, Safety trade-off optimization under constraint duration and cost of construction project -- Chapter 13. Optimum design of pipe network using Rao algorithm -- Chapter 14. Multi-Objective Thermal Exchange Optimization for Truss structure -- Chapter 15. Shape optimization of structures considering varying geometrical and material parameters. 001463168 506__ $$aAccess limited to authorized users. 001463168 520__ $$aThis book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teachinglearning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems. 001463168 588__ $$aDescription based on print version record. 001463168 650_0 $$aArtificial intelligence$$xEngineering applications$$vCongresses. 001463168 650_0 $$aMathematical optimization$$xData processing$$vCongresses. 001463168 655_0 $$aElectronic books. 001463168 7001_ $$aRao, R. Venkata,$$eeditor.$$1https://isni.org/isni/0000000039981660 001463168 7001_ $$aTaler, Jan,$$eeditor.$$1https://isni.org/isni/0000000116357520 001463168 77608 $$iPrint version:$$aInternational Conference on Advanced Engineering Optimization Through Intelligent Techniques (2022), creator.$$tAdvanced engineering optimization through intelligent techniques.$$dSingapore : Springer, 2023$$z9789811992841$$w(OCoLC)1371813345 001463168 830_0 $$aLecture notes in mechanical engineering. 001463168 852__ $$bebk 001463168 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-9285-8$$zOnline Access$$91397441.1 001463168 909CO $$ooai:library.usi.edu:1463168$$pGLOBAL_SET 001463168 980__ $$aBIB 001463168 980__ $$aEBOOK 001463168 982__ $$aEbook 001463168 983__ $$aOnline 001463168 994__ $$a92$$bISE