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Advancing Robust Multi-Objective Optimisation Applied to Complex Model-Based Water-Related Problems

uncertainty, and robust optimisation is difficult to apply as it is a computationally demanding task. The proposed research aims to address the;

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Real-World Multi-Objective System Engineering

methodologies to multi-objective optimisation is of special and growing interest. It brings a solution to many yet-opened real-world problems and;

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Particle Swarm Optimization

Particle swarm optimisation (PSO) is an algorithm modelled on swarm intelligence that finds a solution to an optimisation problem in a;

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Multi model Jumping Systems Robust Filtering and Fault Detection

This book focuses on multi-model systems, describing how to apply intelligent technologies to model complex multi-model systems by;

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Robust Stability & Performance Analysis of Large Scale Power Systems with Parametric Uncertainty

This book deals with the application of new techniques based on multivariable control theory and optimisation theory to the study of robust;

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Deterioration and Optimal Rehabilitation Modelling for Urban Water Distribution Systems

of the distribution system. This book presents a whole-life cost optimisation model for the rehabilitation of water distribution systems. It;

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Evolutionary Multi-Objective System Design

methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems;

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Evolutionary Multi-Objective System Design

methodologies to multi-objective optimization is of special and growing interest. It brings a viable computational solution to many real-world problems;

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Advances in Evolutionary Algorithms Research

multi-objective properties and algorithm performance. Furthermore, the algorithms are applied to real-world mechanical, biological, and chemical;

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Multi-objective Management in Freight Logistics

optimisation models in logistics. The second edition also includes brand-new chapters on green supply chain and hybrid fleet management problems;

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Multi-objective Management in Freight Logistics

optimisation models in logistics. The second edition also includes brand-new chapters on green supply chain and hybrid fleet management problems;

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Sustainable Development in Water-Stressed Developing Countries

optimisation CGE model based on the Ramsey growth model but employs an imperfect foresight assumption and a decentralised setting in which the private;

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Mathematical Optimization Terminology

Mathematical Optimization Terminology takes into account multi-objective method considering the problems related to optimization in case;

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Surrogate Model Based Engineering Design and Optimization

construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization;

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Surrogate Model Based Engineering Design and Optimization

construction, surrogate model selection and validation, surrogate-based robust design optimization, and surrogate-based evolutionary optimization;

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Models and Algorithms for Multi-objective Transportation Optimization Problems

practice in the modern logistics industry. This book studies two classes of decision-making optimisation problems widely concerned in the modern;

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Non-monotonic Approach to Robust H? Control of Multi-model Systems

Non-monotonic Approach to Robust H8 Control of Multi-model Systems focuses on robust analysis and synthesis problems for multi-model;

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Application of Evolutionary Algorithms for Multi-objective Optimization in VLSI and Embedded Systems

utilized for solving multi-objective optimization problems in the area of embedded and VLSI system design. Many complex engineering optimization;

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Multi-Objective Optimization utilizing Cluster Analysis applied to Dimensional Transposed Problems

novel optimization concept, based on data domain transformations and subsequent cluster analyses to solve multi-objective optimization problems;

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Decomposition-Based Evolutionary Optimization in Complex Environments

things simpleaEURO (TM) and aEURO~divide and conqueraEURO (TM) to transform a complex problem into a series of simple ones with the aim;

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Multi-objective Design Of Antennas Using Surrogate Models

simulations, surrogate modeling techniques, and design space reduction methods. Based on contemporary research, it formulates multi-objective design;

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Portfolio Selection Using Multi Objective Optimisation

is presented on the development of alternate portfolio models and their relative performance in the risk/return framework to provide solutions to multi;

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Optimisation in Economic Analysis

techniques (linear programming, nonlinear optimisation and dynamic programming), but also emphasizes the art of model-building and discusses fields;

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Optimisation in Economic Analysis

techniques (linear programming, nonlinear optimisation and dynamic programming), but also emphasizes the art of model-building and discusses fields;

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Optimal Lightweight Construction Principles

This book presents simple design paradigms related to lightweight design, that are derived from an in-depth and theoretically sound;

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Optimal Lightweight Construction Principles

This book presents simple design paradigms related to lightweight design, that are derived from an in-depth and theoretically sound;

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