001452039 000__ 04101cam\a2200577\i\4500
001452039 001__ 1452039
001452039 003__ OCoLC
001452039 005__ 20230310003338.0
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001452039 020__ $$a9783031179297$$q(electronic bk.)
001452039 020__ $$a3031179293$$q(electronic bk.)
001452039 020__ $$z9783031179280
001452039 020__ $$z3031179285
001452039 0247_ $$a10.1007/978-3-031-17929-7$$2doi
001452039 035__ $$aSP(OCoLC)1356877767
001452039 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dUKAHL
001452039 049__ $$aISEA
001452039 050_4 $$aQA402.5
001452039 08204 $$a006.3/8$$223/eng/20230113
001452039 24500 $$aDesign and applications of nature inspired optimization :$$bcontribution of women leaders in the field /$$cDipti Singh, Vanita Garg, Kusum Deep, editors.
001452039 264_1 $$aCham :$$bSpringer,$$c[2022]
001452039 264_4 $$c©2022
001452039 300__ $$a1 online resource (x, 204 pages) :$$billustrations (chiefly color).
001452039 336__ $$atext$$btxt$$2rdacontent
001452039 337__ $$acomputer$$bc$$2rdamedia
001452039 338__ $$aonline resource$$bcr$$2rdacarrier
001452039 4901_ $$aWomen in engineering and science,$$x2509-6435
001452039 500__ $$aIncludes index.
001452039 5050_ $$aAN OVERVIEW OF SWARM INTELLIGENCE BASED ALGORITHMS -- Particle Swarm Optimization and its Applications in the Manufacturing Industry -- Role of Machine Learning in Bioprocess Engineering: Current Perspectives and Future Directions -- Advanced Selection Operation for Differential Evolution Algorithm -- Profit Optimization of Two-Unit Briquetting System using grey wolf Optimization algorithm -- Solving Portfolio optimization using Sine-cosine Algorithm embedded mutation operations -- Detecting Group Shilling Profiles in Recommender Systems: A Hybrid Clustering and Grey Wolf Optimizer Technique -- SINGLE IMAGE REFLECTION REMOVAL USING DEEP LEARNING -- Social media analysis: A tool for popularity prediction using machine learning classifiers.
001452039 506__ $$aAccess limited to authorized users.
001452039 520__ $$aThis book gives a detailed information of various real-life applications from various fields using nature inspired optimization techniques. These techniques are proven to be efficient and robust in many difficult problems in literature. The authors provide detailed information about real-life problems and how various nature inspired optimizations are applied to solve these problems. The authors discuss techniques such as Biogeography Based Optimization, Glow Swarm Optimization, Elephant herd Optimization Algorithm, Cuckoo Search Algorithm, Ant Colony Optimization, and Grey Wolf Optimization etc. These algorithms are applied to a wide range of problems from the field of engineering, finance, medicinal etc. As an important part of the Women in Science and Engineering book series, the work highlights the contribution of women leaders in nature inspired optimization, inspiring women and men, girls and boys to enter and apply themselves to the field. Provides a detailed overview of nature inspired optimization techniques from prominent women in the field; Presents well-defined variables and objective functions and their constraints of various real-life problems in nature inspired optimization; Includes methodology and criteria for presentation of the solutions obtained.
001452039 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 13, 2023).
001452039 650_0 $$aMathematical optimization.
001452039 650_0 $$aComputational intelligence.
001452039 650_0 $$aNature-inspired algorithms.
001452039 650_0 $$aWomen in engineering.
001452039 650_0 $$aWomen in computer science.
001452039 655_0 $$aElectronic books.
001452039 7001_ $$aSingh, Dipti,$$d1980-$$eeditor.
001452039 7001_ $$aGarg, Vanita,$$eeditor.
001452039 7001_ $$aDeep, Kusum,$$eeditor.
001452039 77608 $$iPrint version: $$z3031179285$$z9783031179280$$w(OCoLC)1342985564
001452039 830_0 $$aWomen in engineering and science.$$x2509-6435
001452039 852__ $$bebk
001452039 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-17929-7$$zOnline Access$$91397441.1
001452039 909CO $$ooai:library.usi.edu:1452039$$pGLOBAL_SET
001452039 980__ $$aBIB
001452039 980__ $$aEBOOK
001452039 982__ $$aEbook
001452039 983__ $$aOnline
001452039 994__ $$a92$$bISE