Download or read book New Frontiers in Adaptive Experimental Design for Multi Objective Optimization written by Syrine Belakaria and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The problem of adaptively selecting a sequence of experiments to achieve a goal (aka adaptive experimental design) arises in many real-world settings. A canonical example is the active learning paradigm where we need to iteratively collect labeled data to build predictors with high accuracy. Motivated by the challenges faced by scientists and engineers, this dissertation studies adaptive experimental design algorithms for the purpose of solving a large-class of multi-objective optimization (MOO) problems. Such MOO problems enable many science and engineering applications including drug design, protein engineering, design of materials, and hardware design. For example, in drug design optimization, we need to find drugs that trade-off effectiveness, safety, and cost by performing expensive experiments to evaluate each candidate drug. Similarly, in hardware design optimization, we need to find the designs that trade-off performance, energy, and area using expensive computational simulations to mimic the real hardware.We have the ability to evaluate any candidate input according to the target objectives by performing a costly experiment, where the cost is measured by the resources consumed by the experiment (physical or computational). Our overall goal is to approximate the optimal Pareto set of solutions by minimizing the total resource cost of conducted experiments. The key challenge is how to select the sequence of experiments under uncertainty. This dissertation develops a suite of novel reasoning algorithms based on the principles of information gain per unit resource cost and uncertainty reduction for adaptive experimental design to solve MOO problems. We appropriately instantiate these principles to derive efficient algorithms for the following MOO problem settings, most of which are studied for the first time: 1) The most basic single-fidelity setting, where experiments are expensive and accurate, and we can conduct a single experiment in each iteration; 2) The batch setting where a batch of experiments can be conducted in parallel to accelerate the search process; 3) The constrained setting where we cannot evaluate constraints to identify feasible inputs without performing experiments; 4) The discrete multi-fidelity setting where experiments can vary in the amount of resources consumed and their evaluation accuracy; and 5) The continuous-fidelity setting, where continuous function approximations result in a huge space of experiments. 6) The budget-aware setting where a limited resource budget constraint is enforced requiring us to take a planning approach. Experiments on synthetic and real-world benchmarks from a diverse set of engineering and industrial domains demonstrate that our algorithms significantly improve resource efficiency over prior methods to produce high-quality Pareto solutions.
Download or read book Multi Objective Optimization Problems written by Fran Sérgio Lobato and published by Springer. This book was released on 2017-07-03 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is aimed at undergraduate and graduate students in applied mathematics or computer science, as a tool for solving real-world design problems. The present work covers fundamentals in multi-objective optimization and applications in mathematical and engineering system design using a new optimization strategy, namely the Self-Adaptive Multi-objective Optimization Differential Evolution (SA-MODE) algorithm. This strategy is proposed in order to reduce the number of evaluations of the objective function through dynamic update of canonical Differential Evolution parameters (population size, crossover probability and perturbation rate). The methodology is applied to solve mathematical functions considering test cases from the literature and various engineering systems design, such as cantilevered beam design, biochemical reactor, crystallization process, machine tool spindle design, rotary dryer design, among others.
Download or read book Evolutionary Multi Objective System Design written by Nadia Nedjah and published by CRC Press. This book was released on 2020-07-15 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-world engineering problems often require concurrent optimization of several design objectives, which are conflicting in cases. This type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems. Generally, multi-objective engineering problems do not have a straightforward optimal design. These kinds of problems usually inspire several solutions of equal efficiency, which achieve different trade-offs. Decision makers’ preferences are normally used to select the most adequate design. Such preferences may be dictated before or after the optimization takes place. They may also be introduced interactively at different levels of the optimization process. Multi-objective optimization methods can be subdivided into classical and evolutionary. The classical methods usually aim at a single solution while the evolutionary methods provide a whole set of so-called Pareto-optimal solutions. Evolutionary Multi-Objective System Design: Theory and Applications provides a representation of the state-of-the-art in evolutionary multi-objective optimization research area and related new trends. It reports many innovative designs yielded by the application of such optimization methods. It also presents the application of multi-objective optimization to the following problems: Embrittlement of stainless steel coated electrodes Learning fuzzy rules from imbalanced datasets Combining multi-objective evolutionary algorithms with collective intelligence Fuzzy gain scheduling control Smart placement of roadside units in vehicular networks Combining multi-objective evolutionary algorithms with quasi-simplex local search Design of robust substitution boxes Protein structure prediction problem Core assignment for efficient network-on-chip-based system design
Download or read book Multiobjective Optimization written by Jürgen Branke and published by Springer. This book was released on 2008-10-18 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiobjective optimization deals with solving problems having not only one, but multiple, often conflicting, criteria. Such problems can arise in practically every field of science, engineering and business, and the need for efficient and reliable solution methods is increasing. The task is challenging due to the fact that, instead of a single optimal solution, multiobjective optimization results in a number of solutions with different trade-offs among criteria, also known as Pareto optimal or efficient solutions. Hence, a decision maker is needed to provide additional preference information and to identify the most satisfactory solution. Depending on the paradigm used, such information may be introduced before, during, or after the optimization process. Clearly, research and application in multiobjective optimization involve expertise in optimization as well as in decision support. This state-of-the-art survey originates from the International Seminar on Practical Approaches to Multiobjective Optimization, held in Dagstuhl Castle, Germany, in December 2006, which brought together leading experts from various contemporary multiobjective optimization fields, including evolutionary multiobjective optimization (EMO), multiple criteria decision making (MCDM) and multiple criteria decision aiding (MCDA). This book gives a unique and detailed account of the current status of research and applications in the field of multiobjective optimization. It contains 16 chapters grouped in the following 5 thematic sections: Basics on Multiobjective Optimization; Recent Interactive and Preference-Based Approaches; Visualization of Solutions; Modelling, Implementation and Applications; and Quality Assessment, Learning, and Future Challenges.
Download or read book XIII Balkan Conference on Operational Research Proceedings written by Dragana Makajić-Nikolić and published by FON. This book was released on 2018-06-10 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Intelligent Computing Technology and Applications written by De-Shuang Huang and published by Springer Nature. This book was released on with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multi Objective Optimization in Chemical Engineering written by Gade Pandu Rangaiah and published by John Wiley & Sons. This book was released on 2013-03-20 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: For reasons both financial and environmental, there is a perpetual need to optimize the design and operating conditions of industrial process systems in order to improve their performance, energy efficiency, profitability, safety and reliability. However, with most chemical engineering application problems having many variables with complex inter-relationships, meeting these optimization objectives can be challenging. This is where Multi-Objective Optimization (MOO) is useful to find the optimal trade-offs among two or more conflicting objectives. This book provides an overview of the recent developments and applications of MOO for modeling, design and operation of chemical, petrochemical, pharmaceutical, energy and related processes. It then covers important theoretical and computational developments as well as specific applications such as metabolic reaction networks, chromatographic systems, CO2 emissions targeting for petroleum refining units, ecodesign of chemical processes, ethanol purification and cumene process design. Multi-Objective Optimization in Chemical Engineering: Developments and Applications is an invaluable resource for researchers and graduate students in chemical engineering as well as industrial practitioners and engineers involved in process design, modeling and optimization.
Download or read book Parallel Computational Fluid Dynamics 2002 written by K. Matsuno and published by Elsevier. This book was released on 2003-04-25 with total page 621 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is proceedings of the international conference of the Parallel Computational Fluid Dynamics 2002. In the volume, up-to-date information about numerical simulations of flows using parallel computers is given by leading researchers in this field. Special topics are "Grid Computing" and "Earth Simulator". Grid computing is now the most exciting topic in computer science. An invited paper on grid computing is presented in the volume. The Earth-Simulator is now the fastest computer in the world. Papers on flow-simulations using the Earth-Simulator are also included, as well as a thirty-two page special tutorial article on numerical optimization.
Download or read book New State of MCDM in the 21st Century written by Yong Shi and published by Springer Science & Business Media. This book was released on 2011-06-15 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides cutting-edge research results and application experiences from researchers and practitioners in multiple criteria decision making areas. It consists of three parts: MCDM Foundation and Theory, MCDM Methodology, and MCDM Applications. In Part I, it covers the historical MCDM development, the influence of MCDM on technology, society and policy, Pareto optimization, and analytical hierarchy process. In Part II, the book presents different MCDM algorithms based on techniques of robust estimating, evolutionary multiobjective optimization, Choquet integrals, and genetic search. In Part III, this book demonstrates a variety of MCDM applications, including project management, financial investment, credit risk analysis, railway transportation, online advertising, transport infrastructure, environmental pollution, chemical industry, and regional economy. The 17 papers of the book have been selected out of the 121 accepted papers at the 20th International Conference on Multiple Criteria Decision Making "New State of MCDM in 21st Century", held at Chengdu, China, in 2009. The 35 contributors of these papers stem from 10 countries.
Download or read book Adaptive Differential Evolution written by Jingqiao Zhang and published by Springer Science & Business Media. This book was released on 2009-07-09 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental theme of this book is theoretical study of differential evolution and algorithmic analysis of parameter adaptive schemes. The book offers real-world insights into a variety of large-scale complex industrial applications.
Download or read book Evolutionary Multiobjective Optimization written by Ajith Abraham and published by Springer. This book was released on 2010-10-22 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Evolutionary Multi-Objective Optimization is an expanding field of research. This book brings a collection of papers with some of the most recent advances in this field. The topic and content is currently very fashionable and has immense potential for practical applications and includes contributions from leading researchers in the field. Assembled in a compelling and well-organised fashion, Evolutionary Computation Based Multi-Criteria Optimization will prove beneficial for both academic and industrial scientists and engineers engaged in research and development and application of evolutionary algorithm based MCO. Packed with must-find information, this book is the first to comprehensively and clearly address the issue of evolutionary computation based MCO, and is an essential read for any researcher or practitioner of the technique.
Download or read book An Adaptive Scalarization Method in Multi objective Optimization written by Gabriele Eichfelder and published by . This book was released on 2006 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Intelligence Computation and Applications written by Kangshun Li and published by Springer Nature. This book was released on with total page 485 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive and Natural Computing Algorithms written by Bernadete Ribeiro and published by Springer Science & Business Media. This book was released on 2005-12-12 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials.
Download or read book Journal of Mechanical Design written by and published by . This book was released on 2008 with total page 818 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Research Methods Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2015-01-31 with total page 2107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Across a variety of disciplines, data and statistics form the backbone of knowledge. To ensure the reliability and validity of data, appropriate measures must be taken in conducting studies and reporting findings. Research Methods: Concepts, Methodologies, Tools, and Applications compiles chapters on key considerations in the management, development, and distribution of data. With its focus on both fundamental concepts and advanced topics, this multi-volume reference work will be a valuable addition to researchers, scholars, and students of science, mathematics, and engineering.
Download or read book Evolutionary Multi Criterion Optimization written by Hisao Ishibuchi and published by Springer Nature. This book was released on 2021-03-24 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021 held in Shenzhen, China, in March 2021. The 47 full papers and 14 short papers were carefully reviewed and selected from 120 submissions. The papers are divided into the following topical sections: theory; algorithms; dynamic multi-objective optimization; constrained multi-objective optimization; multi-modal optimization; many-objective optimization; performance evaluations and empirical studies; EMO and machine learning; surrogate modeling and expensive optimization; MCDM and interactive EMO; and applications.
