10 Best Books on Multi-Objective Programming

“Advances in Multiple Objective and Goal Programming” Book Review: This book has 41 papers that were presented at the 2nd International Conference on Multi-Objective Programming and Goal Programming (MOPGP’96). The papers are about making decisions with multiple criteria, including multiple objective programming and goal programming. The papers in this volume were peer-reviewed.

“Interactive Multi-Objective Programming as a Framework for Computer-Aided Control System Design (Lecture Notes in Control and Information Sciences)” Book Review: This book explains the evolution of computer-aided control system design (CACSD). It focuses on how the designer and the computer can work together to achieve high-quality results. The book recommends treating CACSD problems as search problems. It also introduces the concept of Interactive Multiple Objective Programming (IMOP) which defines the level of abstraction and organization of design tools in the computer.

“Portfolio Selection Using Multi-Objective Optimisation” Book Review: This book examines the challenge of portfolio selection by considering multiple objectives. It studies different portfolio models and their performance in relation to risk and return. The book offers solutions to the problem of multi-objective optimization. It also describes methods for analyzing investors and programming their portfolios. The book presents a new and useful approach for multi-objective portfolio optimization. It is intended for investors, Mutual Funds, Foreign Institutional Investors (FIIs), as well as researchers and students in the field.

“Goal Programming Based Multi-Objective Optimization Techniques of Task Allocation in Distributed Environment” Book Review: This book is about assigning tasks to different processors in a computer system. It’s important to decide which tasks will be executed on which processors in a heterogeneous computing system. The goals are to maximize throughput, reliability, and minimize cost. The book takes into account constraints related to memory and communication link capacity. It uses the goal programming technique with preemptive priority structure to find the optimal allocation. The book also discusses the use of genetic algorithms to find the best allocations.

“Multi-objective Programming in the U.S.S.R. (Statistical Modeling and Decision Science)” Book Review: This book is about multi-objective programming and its development in the fields of applied mathematics, operations research, decision science, and management science. It contains 24 chapters and focuses on the Soviet Union’s contributions to multi-objective programming. The book starts with an introduction to the research institutes involved in this field and presents an analytical framework for categorizing and classifying the various Soviet methods. The chapters provide information on different methods and evaluate their significance. The book highlights the unique Soviet theoretical research and approaches. It concludes by discussing the notable Soviet trends in multi-objective research. This book is recommended for economists.

“Multi-level Multi-objective Programming under Uncertainty” Book Review: This textbook teaches how to make decisions using both art and science. It presents mathematical models that can be used to solve problems. The book is aimed at helping the first-level decision maker (FLDM), and it also covers the choices made by lower level decision makers.

“Electronic Design Automation of Analog ICs combining Gradient Models with Multi-Objective Evolutionary Algorithms (SpringerBriefs in Applied Sciences and Technology)” Book Review: This book is about electronic design automation (EDA), specifically the automatic sizing of analog integrated circuits (ICs). It introduces a layout-aware circuit-level optimizer called GENOM-POF that utilizes statistical knowledge from an automatically generated gradient model into the multi-objective multi-constraint optimization kernel based on the NSGA-II algorithm. The book allows the designer to explore different trade-offs in the solution space. It is useful for engineers and researchers working in the field of electronic design automation.

“Multi-objective Design Of Antennas Using Surrogate Models” Book Review: This book talks about how to optimize antenna structures using computer simulations. It explains the different techniques like surrogate modeling and design space reduction that can be used for efficient optimization. The book also looks at multi-objective design tasks and problems related to antenna design, and discusses various solution approaches. The focus is on handling computationally expensive simulation models of antenna structures, and it includes recent developments in antenna design optimization using variable-fidelity simulation models. The knowledge gained from this book can be applied to different areas of engineering such as aeronautical, mechanical, electrical, biomedical and civil engineering.