TY - BOOK ID - 21672591 TI - Metaheuristics in water, geotechnical and transport engineering PY - 2012 SN - 1283619911 9786613932365 0123983177 0123982960 0323282601 9780123983176 9781283619912 9780123982964 PB - Boston, Mass. : Elsevier, DB - UniCat KW - Mathematical optimization. KW - Heuristic programming. KW - Problem solving KW - Computer algorithms. KW - Data processing. KW - Algorithms KW - Artificial intelligence KW - Programming (Mathematics) KW - Optimization (Mathematics) KW - Optimization techniques KW - Optimization theory KW - Systems optimization KW - Mathematical analysis KW - Maxima and minima KW - Operations research KW - Simulation methods KW - System analysis UR - http://www.unicat.be/uniCat?func=search&query=sysid:21672591 AB - Due to an ever-decreasing supply in raw materials and stringent constraints on conventional energy sources, demand for lightweight, efficient and low cost structures has become crucially important in modern engineering design. This requires engineers to search for optimal and robust design options to address design problems that are often large in scale and highly nonlinear, making finding solutions challenging. In the past two decades, metaheuristic algorithms have shown promising power, efficiency and versatility in solving these difficult optimization problems. This book examines ER -