{"product_id":"applied-nature-inspired-computing-algorithms-and-case-studies-9789811392634","title":"Applied Nature-Inspired Computing: Algorithms and Case Studies","description":"\u003cp\u003eThis 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.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":53590380577047,"sku":null,"price":11217.9,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9789811392634.jpg?v=1782730364","url":"https:\/\/payment.letskitaboo.com\/ur\/products\/applied-nature-inspired-computing-algorithms-and-case-studies-9789811392634","provider":"Kitaboo One eStore","version":"1.0","type":"link"}