LEADER 04952nam 22006015 450 001 9910767546503321 005 20200704220155.0 010 $a981-13-9263-3 024 7 $a10.1007/978-981-13-9263-4 035 $a(CKB)4100000009158813 035 $a(MiAaPQ)EBC5849813 035 $a(DE-He213)978-981-13-9263-4 035 $a(PPN)243768141 035 $a(EXLCZ)994100000009158813 100 $a20190810d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aApplied Nature-Inspired Computing: Algorithms and Case Studies /$fedited by Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (281 pages) 225 1 $aSpringer Tracts in Nature-Inspired Computing,$x2524-552X 311 $a981-13-9262-5 327 $aChapter 1. Particle Swarm Optimization of Morphological Filters for Electrocardiogram Baseline Drift Estimation -- Chapter 2. Detection of Breast Cancer using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly algorithm and Optimum Path Forest Classification -- Chapter 3. Recommending Healthy Personalized Daily Menus ? A Cuckoo Search based Hyper-Heuristic Approach -- Chapter 4. A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network -- Chapter 5. An Application of Binary Grey Wolf Optimizer (BGWO) variants for Unit Commitment Problem -- Chapter 6. Sensorineural hearing loss identification via discrete wavelet packet entropy and cat swarm optimization -- Chapter 7. Chaotic Variants of Grasshopper Optimisation Algorithm and their application to Protein Structure Prediction -- Chapter 8. Examination of Retinal Anatomical Structures ? A Study with Spider Monkey Optimization Algorithm -- Chapter 9. Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparative Study -- Chapter 10. Parallel-series System Optimization by Weighting Sum Methods and Nature-inspired Computing -- Chapter 11. Development of Artificial Neural Networks trained by Heuristic Algorithms for Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends. 330 $aThis book presents a cutting-edge research procedure in the Nature-Inspired Computing (NIC) domain and its connections with computational intelligence areas in real-world engineering applications. It introduces readers to a broad range of algorithms, such as genetic algorithms, particle swarm optimization, the firefly algorithm, flower pollination algorithm, collision-based optimization algorithm, bat algorithm, ant colony optimization, and multi-agent systems. In turn, it provides an overview of meta-heuristic algorithms, comparing the advantages and disadvantages of each. Moreover, the book provides a brief outline of the integration of nature-inspired computing techniques and various computational intelligence paradigms, and highlights nature-inspired computing techniques in a range of applications, including: evolutionary robotics, sports training planning, assessment of water distribution systems, flood simulation and forecasting, traffic control, gene expression analysis, antenna array design, and scheduling/dynamic resource management. 410 0$aSpringer Tracts in Nature-Inspired Computing,$x2524-552X 606 $aComputational intelligence 606 $aAlgorithms 606 $aComputer science?Mathematics 606 $aComputer simulation 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aMathematics of Computing$3https://scigraph.springernature.com/ontologies/product-market-codes/I17001 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aComputational intelligence. 615 0$aAlgorithms. 615 0$aComputer science?Mathematics. 615 0$aComputer simulation. 615 14$aComputational Intelligence. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aMathematics of Computing. 615 24$aSimulation and Modeling. 676 $a006.38 702 $aDey$b Nilanjan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAshour$b Amira S$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBhattacharyya$b Siddhartha$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910767546503321 996 $aApplied Nature-Inspired Computing: Algorithms and Case Studies$93655397 997 $aUNINA