{"product_id":"new-advances-in-soft-computing-in-civil-engineering-ai-based-optimization-and-prediction-9783031659751","title":"New Advances in Soft Computing in Civil Engineering: Ai-Based Optimization and Prediction","description":"\u003cp\u003e • Author(s): Gebrail Bekdaş\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Civil - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eSoft computing applications plays a crucial role in civil engineering applications, with engineers striving to create outstanding designs that prioritize safety, aesthetics, cost-efficiency, and environmental considerations. Advanced optimization techniques are especially valuable for complex systems including multi-constraint problems, multi-objective problems and control problems needing iterative processes in solving differential equations.\u003c\/p\u003e\u003cp\u003eThroughout history, people have used their creativity to enhance designs in everyday tasks, and this is where metaheuristics come into play, drawing inspiration from nature to develop novel algorithms. These artificial intelligence-based algorithms possess distinctive attributes, and leveraging various features from different algorithms can enhance the effectiveness of optimization, improving precision, computational efficiency, and convergence.\u003c\/p\u003e\u003cp\u003eThis book serves as a timely resource, summarizing the latest advancements in civil engineering optimization, encompassing both metaheuristic approaches and emerging trends that integrates artificial intelligence and machine learning techniques to predict optimal solutions, streamlining lengthy optimization processes.\u003c\/p\u003e\u003cp\u003eThe book's chapters cover a wide range of civil engineering applications, with the primary goal being to introduce fundamental concepts and advanced adaptations. This comprehensive resource is designed to provide undergraduates and graduate engineering students with a solid understanding of materials and content, making it a valuable reference for university courses in various civil engineering disciplines.\u003c\/p\u003e\u003cp\u003eThe book will be edited, and the editors will contribute to most of the chapters. Depending on the availability of high-quality papers, the editors may increase their contributions by sharing recent research projects and postgraduate students' theses.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45284531962007,"sku":"9783031659751","price":14553.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783031659751.webp?v=1769281479","url":"https:\/\/atlanticbooks.com\/products\/new-advances-in-soft-computing-in-civil-engineering-ai-based-optimization-and-prediction-9783031659751","provider":"Atlantic Books","version":"1.0","type":"link"}