{"product_id":"9780792349938","title":"Advances in Computational Management Science","description":"\u003ch1\u003eAdvances in Computational Management Science\u003c\/h1\u003e \u003ch2\u003eAurifeille, Jacques-Marie; Deissenberg, Christopher\u003c\/h2\u003e \u003cp\u003eManagement Science is often confronted with optimization  problems characterised by weak underlying theoretical models and  complex constraints. Among them, one finds data analysis, pattern  recognition (classification, multidimensional analysis, discriminant  analysis) as well as modelling (forecasting, confirmatory analysis,  expert system design). In recent years, biomimetic approaches have  received growing attention from Marketing, Finance and Human Resource  researchers and executives as effective tools for practically handling  such problems. Biomimetic approaches include a variety of heuristic  methods - such as neural networks, genetic algorithms,  immunitary nets, cellular automata - that simulate nature's way  of solving complex problems and, thus, can be considered as numerical  transpositions of true life problem solving. \u003cbr\u003e  \u003cem\u003eBio-Mimetic Approaches in Management Science\u003c\/em\u003e presents a  selection of recent papers on biomimetic approaches and their  application to Management Science. Most of these papers were presented  at the last ACSEG\/CAEMS International Congresses (Approches  Connexionnistes en Sciences Economiques et de Gestion\/Connectionnist  Approaches in Economics and Management Science). All papers combine  the discussion of conceptual issues with illustrative empirical  applications, and contain detailed information on the way heuristics  are practically implemented. The advantages and limits of the  biomimetic approaches are discussed in several of the papers, either  by comparing these approaches with more classical methods (logit  models, clustering), or by investigating specific issues like  overfitting and robustness. Synthesizing overviews are provided, as  well as new tools for coping with some of the limitations of  biomimetic methods.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 1998-04-30\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9780792349938\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-1-4757-2821-7\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 208\u003c\/p\u003e ","brand":"Springer US","offers":[{"title":"Default Title","offer_id":46312105869452,"sku":"9780792349938","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9780792349938.jpg?v=1771518809","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9780792349938","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}