This book presents a methodology for planning of production processes. The methodology is based on kriging models and two approaches to the optimization of process chains. Extensions of the models for an application on noisy data are presented and assessed showing the i... Lees meer.

This monograph focuses on the exploration of various model-based and model-free approaches for Constrained RL within the context of average reward Markov Decision Processes MDPs . Reinforcement Learning RL serves as a versatile framework for sequential decision-ma... Lees meer.

This book focuses on machine learning ML assisted evolutionary multi- and many-objective optimization EM O . Finally this book shares insightful perspectives on the future potential for ML based enhancements in the EM OA domain. To aid readers the book includes wor... Lees meer.

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... Lees meer.

Over the last ten years Multi-Objective Evolutionary Algorithms MOEAs have undergone tremendous development and have been successfully applied in various fields. However an increasingly expanding basis of our knowledge of natural processes and engineering requiremen... Lees meer.

This book introduces Multi-objective design methods to solve Multi-objective optimization problems of linear non-linear dynamic systems under intrinsic random fluctuation and external disturbance. All proposed design methods are based on rigorous theoretical results and... Lees meer.

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Provides emerging research exploring the theoretical and practical aspects of the application of intelligent optimization techniques within industrial energy systems. The book features coverage on a broad range of topics including swarm intelligence renewable energy... Lees meer.

There are an increasing number of optimal-design paradigms used in architectural design nowadays. In these paradigms a design task is formulated or partially formulated as an optimization problem. Multi-Disciplinary Optimization and Multi-Objective Optimization as t... Lees meer.

This book presents recent contributions and significant development advanced issues and challenges. In real-world problems and applications most of the optimization problems involve different types of constraints. These problems are called constrained optimization pr... Lees meer.

An optimal construction site layout planning CSLP can enhancing the services of the construction work to improve the work productivity and thus the costs of a project. The previous studies of CSLP centralized on the equal-area and static site layout planning which is... Lees meer.

This book introduces techniques that advance the capabilities and strength of modern software tools for physical synthesis with the ultimate goal to improve the quality of leading-edge semiconductor products. This book introduces techniques that advance the capabilit... Lees meer.

This book describes how evolutionary algorithms EA including genetic algorithms GA and particle swarm optimization PSO can be utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimi... Lees meer.

This book illuminates the fundamental principle and applications of probability-based multi-objective optimization for material selection systematically in which a brand new concept of preferable probability and its assessment as well as other treatments are introduced... Lees meer.

Economic selection of cutting conditions is an important task in the field of machining. The main problem faced in optimization of cutting conditions is that once selected the optimum cutting conditions do not remain optimum throughout the complete machining operation.... Lees meer.