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020 _a9789811606625
024 7 _a10.1007/978-981-16-0662-5
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQ337.3
_b2021 EB
245 1 0 _aApplied Optimization and Swarm Intelligence
_cedited by Eneko Osaba, Xin-She Yang.
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Pulishing
_c2021
300 _a1 recurso en línea (XI, 229 páginas)
_b47 ilustraciones, 26 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aSpringer Tracts in Nature-Inspired Computing
_x2524-5538
490 0 _aIntelligent Technologies and Robotics (SpringerNature-42732)
490 0 _aIntelligent Technologies and Robotics (R0) (SpringerNature-43728)
505 0 _aApplied Optimization and Swarm Intelligence: A Systematic Review and Prospect Opportunities -- A Review on Ensemble Methods and their Applications to Optimization Problems -- A Brief Overview of Swarm Intelligence-Based Algorithms for Numerical Association Rule Mining -- Review of Swarm Intelligence for Improving Time Series Forecasting -- Soccer-Inspired Metaheuristics: Systematic Review of Recent Research and Applications -- Formal Cognitive Modeling of Swarm Intelligence for Decision-Making Optimization Problems -- Nature-Inspired Optimization Algorithms for Path Planning and Fuzzy Tracking Control of Mobile Robots -- A Hardware Architecture and Physical Prototype for General-Purpose Swarm Minirobotics: Proteus II -- Evolving a Multi-Objective Optimization Framework -- Swarm Intelligence Based Optimum Design of Deep Excavation System.
520 3 _aThis book gravitates on the prominent theories and recent developments of swarm intelligence methods, and their application in both synthetic and real-world optimization problems. The special interest will be placed in those algorithmic variants where biological processes observed in nature have underpinned the core operators underlying their search mechanisms. In other words, the book centers its attention on swarm intelligence and nature-inspired methods for efficient optimization and problem solving. The content of this book unleashes a great opportunity for researchers, lecturers and practitioners interested in swarm intelligence, optimization problems and artificial intelligence.
988 _aSpringer_Robotics_2021
650 7 _2embne
_9145705
_aOptimización matemática
700 1 _aOsaba, Eneko
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 _aYang, Xin-She.
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_997941
776 0 8 _iPrinted edition:
_z9789811606618
776 0 8 _iPrinted edition:
_z9789811606632
776 0 8 _iPrinted edition:
_z9789811606649
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-0662-5
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE