This book provides models of various economic and financial issues while using computational intelligence as a foundation. The scope of this volume comprises finance, economics, management, organizational theory and public policies. It explains the ongoing and novel research in this field, and...

Multi-objective optimization (MO) is a fast-developing field in computational intelligence research. Giving decision makers more options to choose from using some post-analysis preference information, there are a number of competitive MO techniques with an increasingly large number of MO...

Digital signal processing is an area of science and engineering that has been developed rapidly over the past years. This rapid development is the result of the significant advances in digital computer technology and integrated circuits fabrication. Many of the signal processing tasks...

"This book presents applications of evolutionary computation in the software engineering field, including how evolutionary algorithms are used to solve different search and optimization problems in the area of software engineering"--Provided by publisher.

"This book contains the latest research developments in manufacturing technology and its optimization, and demonstrates the fundamentals of new computational approaches and the range of their potential application"--Provided by publisher.

"This book is a collection of the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing, providing readers with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony...

An improved particle swarm optimization for optimal power flow / Dieu Ngoc Vo, Peter Schegner -- The use of soft computing for optimization in business, economics, and finance / Petr Dostál -- Hybrid linear search, genetic algorithms, and simulated annealing for fuzzy non-linear industrial...

"This book provides insight on the latest advances and analysis of technologies in metaheuristics computing, offering widespread coverage on topics such as genetic algorithms, differential evolution, and ant colony optimization"--Provided by publisher.

Modeling Applications and Theoretical Innovations in Interdisciplinary Evolutionary Computation provides comprehensive research on emerging theories and its aspects on intelligent computation. The book focuses particularly on breaking trends in evolutionary computing, algorithms, and programming.

Interval mathematics as a potential weapon against uncertainty / Hend Dawood -- Uncertainty modeling using expert's knowledge as evidence / D. Datta -- Evidence-based uncertainty modeling / Tazid Ali -- Hybrid set structures for soft computing / Sunil Jacob John, Babitha KV -- Source and...