Masatoshi Sakawa Livres

Multidimensional decision-making today involves balancing multiple objectives, such as economic, environmental, social, and technical factors. This complexity necessitates multiobjective optimization, which extends traditional single-objective approaches. In this context, objectives can conflict, leading to the concept of Pareto optimality, where no objective can be improved without worsening another. The challenge lies in selecting a preferred solution from the Pareto set, focusing on how to derive a compromise that reflects the decision maker's subjective judgments.

The book addresses a significant gap in the literature on genetic algorithms by presenting a unified approach to solving both single-objective and multiobjective optimization problems, including those involving fuzzy logic. While many existing works focus on single-objective discrete problems under certainty, this text expands the scope to encompass a broader range of applications. It highlights the evolution and contributions of genetic algorithms since their inception in the 1970s, making it a valuable resource for researchers and practitioners in various fields.

Focusing on the intersection of multiobjectiveness and fuzziness, this book explores interactive multiobjective optimization tailored for large-scale programming challenges. It highlights recent advancements in the field, emphasizing the importance of interactive decision-making in human-centered systems amidst uncertainty. Aimed at graduate students, researchers, and practitioners, it serves as a comprehensive resource for those in operations research, industrial engineering, management science, and computer science, providing insights into practical applications of fuzzy multiobjective optimization.

Focusing on optimization concepts, the monograph explores fuzzy programming, multi-objective programming, stochastic programming, and genetic algorithms. It delves into their applications within the context of non-cooperative decision-making in hierarchical organizations, providing insights into how these methodologies can enhance decision processes in complex structures.

Simultaneous considerations of multiobjectiveness, fuzziness and block angular structures involved in the real-world decision making problems lead us to the new field of interactive multiobjective optimization for large scale programming problems under fuzziness. The aim of this book is to introduce the latest advances in the new field of interactive multiobjective optimization for large scale programming problems under fuzziness on the basis of the author's continuing research. Special stress is placed on interactive decision making aspects of fuzzy multiobjective optimization for human-centered systems in most realistic situations when dealing with fuzziness. The book is intended for graduate students, researchers and practitioners in the fields of operations research, industrial engineering, management science and computer science.