Operational research and optimization matlab programming-published by Zheng Zhiyong

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Operational research and optimization matlab programming mainly includes linear planning, nonlinear planning, target planning, integer planning, analytic hierarchy process, genetic Algorithm Algorithm and Matlab programming. These contents are the knowledge that management, economics, and most engineering students should possess. As a teaching material, the content of "operational research and optimization matlab programming" focuses on the basic ideas, necessary theories and methods, as well as the knowledge that needs to be understood and mastered in applications, and strives to make it easy to understand, suitable for teaching and self-study. Operational research and optimization matlab programming can be used as a supporting teaching material for operational research and optimization methods, so that readers can understand and understand the ideas and methods used to solve the problems of operational research and optimization methods.
Operational research and optimal matlab programming can be used as reference materials for graduate students in management and economics, or as teaching materials or reference books for senior students and graduate students in related majors, it also has some reference value for people who want to understand, understand, and apply operational research and optimization methods.
Operational research is of great significance in natural science, social science, engineering technology, production practices, economic construction, and modern management. With the continuous development of science and technology and socio-economic construction, operational research has been rapidly developed and widely used. As an important component of operational research, linear planning, non-linear planning, target planning, integer planning, analytic hierarchy process, genetic algorithm, and other content have become the knowledge and learning of management, economics, and most engineering students. an important foundation for other courses. Based on the needs of management, economics, and the knowledge structure of most engineering students, this book uses the characteristics of MATLAB software to build a bridge between theoretical knowledge and practical application goals.
This book is a reference material for understanding, understanding, and improving operational research and optimization theories and methods. It can be used independently. At the same time, it can also be used as an important supplementary reference material for "operational research and optimization methods" (edited by Wu qizong, published by the Mechanical Industry Publishing House. Because operational research and optimization methods involve a lot of mathematical basics, it is difficult for masters of engineering, management, and economics to master these necessary foundations from the theoretical aspect. Taking into account the characteristics of close integration of operational research and optimization methods in theory and applicability, to learn this course well, we must focus on understanding the essential knowledge of operational research, in practice, we need to be able to use these operational research and optimization knowledge flexibly.
The principle of writing this book is to pay attention to the reform of educational thoughts and content, and to inspire students to think about problems and innovate independently; it organically combines the research of basic theories, ideas of method construction, and application prospects with the use of Matlab programming. It emphasizes the close relationship between operational research and practice, follow the development process of "Practice-theory-practice.
This book uses Algorithm Programming analysis, algorithm language implementation, program module source code, and textbooks to build students' knowledge structures, the combination of subject characteristics, new development achievements, and development trends with the ability to improve students' research and innovation can make teaching and self-study receive better results.
In education and teaching, it is very important to cultivate students' self-learning ability. This book has made some useful explorations in this regard. In the course of writing this book, pay attention to the process of making students feel and understand the knowledge generation and development, and cultivate students' scientific spirit and innovative thinking habits, it focuses on cultivating students' ability to collect and process information, acquire new knowledge, and analyze and solve problems.