New Embedding For Nonlinear Multiobjective Optimization Problems I
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Multi-Objective Optimization
Author | : Gade Pandu Rangaiah |
Publisher | : World Scientific |
Total Pages | : 454 |
Release | : 2009 |
Genre | : Technology & Engineering |
ISBN | : 9812836527 |
Optimization has been playing a key role in the design, planning and operation of chemical and related processes for nearly half a century. Although process optimization for multiple objectives was studied by several researchers back in the 1970s and 1980s, it has attracted active research in the last 10 years, spurred by the new and effective techniques for multi-objective optimization. In order to capture this renewed interest, this monograph presents the recent and ongoing research in multi-optimization techniques and their applications in chemical engineering. Following a brief introduction and general review on the development of multi-objective optimization applications in chemical engineering since 2000, the book gives a description of selected multi-objective techniques and then goes on to discuss chemical engineering applications. These applications are from diverse areas within chemical engineering, and are presented in detail. All chapters will be of interest to researchers in multi-objective optimization and/or chemical engineering; they can be read individually and used in one''s learning and research. Several exercises are included at the end of many chapters, for use by both practicing engineers and students.
New Optimality Conditions for Nonlinear Multiobjective Optimization Problems and New Scalarization Technqiues for Constructing Pathological Pareto Fronts
Author | : Mohammed Mustafa Rizvi |
Publisher | : |
Total Pages | : 260 |
Release | : 2013 |
Genre | : Mathematical optimization |
ISBN | : |
Evolutionary Large-Scale Multi-Objective Optimization and Applications
Author | : Xingyi Zhang |
Publisher | : John Wiley & Sons |
Total Pages | : 358 |
Release | : 2024-09-11 |
Genre | : Technology & Engineering |
ISBN | : 1394178417 |
Tackle the most challenging problems in science and engineering with these cutting-edge algorithms Multi-objective optimization problems (MOPs) are those in which more than one objective needs to be optimized simultaneously. As a ubiquitous component of research and engineering projects, these problems are notoriously challenging. In recent years, evolutionary algorithms (EAs) have shown significant promise in their ability to solve MOPs, but challenges remain at the level of large-scale multi-objective optimization problems (LSMOPs), where the number of variables increases and the optimized solution is correspondingly harder to reach. Evolutionary Large-Scale Multi-Objective Optimization and Applications constitutes a systematic overview of EAs and their capacity to tackle LSMOPs. It offers an introduction to both the problem class and the algorithms before delving into some of the cutting-edge algorithms which have been specifically adapted to solving LSMOPs. Deeply engaged with specific applications and alert to the latest developments in the field, it’s a must-read for students and researchers facing these famously complex but crucial optimization problems. The book’s readers will also find: Analysis of multi-optimization problems in fields such as machine learning, network science, vehicle routing, and more Discussion of benchmark problems and performance indicators for LSMOPs Presentation of a new taxonomy of algorithms in the field Evolutionary Large-Scale Multi-Objective Optimization and Applications is ideal for advanced students, researchers, and scientists and engineers facing complex optimization problems.
Multi-objective Design Space Exploration of Multiprocessor SoC Architectures
Author | : Cristina Silvano |
Publisher | : Springer Science & Business Media |
Total Pages | : 226 |
Release | : 2011-08-23 |
Genre | : Technology & Engineering |
ISBN | : 1441988378 |
This book serves as a reference for researchers and designers in Embedded Systems who need to explore design alternatives. It provides a design space exploration methodology for the analysis of system characteristics and the selection of the most appropriate architectural solution to satisfy requirements in terms of performance, power consumption, number of required resources, etc. Coverage focuses on the design of complex multimedia applications, where the choice of the optimal design alternative in terms of application/architecture pair is too complex to be pursued through a full search comparison, especially because of the multi-objective nature of the designer’s goal, the simulation time required and the number of parameters of the multi-core architecture to be optimized concurrently.
Solving Multi-Objective Optimization Problems through Unified Approach
Author | : H.A. Khalifa |
Publisher | : Infinite Study |
Total Pages | : 10 |
Release | : |
Genre | : Mathematics |
ISBN | : |
In this paper, unified approach for solving multi-objective optimization problem is introduced.