A comprehensive book on the design and implementation of metaheuristics in uncertain environments, Metaheuristics in Uncertain Environments provides a thorough background on designing and deploying algorithms to solve complex optimization problems. Numerous real-world examples of problems and solutions demonstrate how metaheuristics are applied in such fields as telecommunication, logistics and transportation, bioinformatics, engineering design, scheduling, environment, and finance. Useful for undergraduate to postgraduate students as well as engineers, the book facilities learning by including case studies, end-of-chapter questions, tutorials on a supplementary website, and end of chapter problem solutions.