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Models and Algorithms for Multi-objective Transportation Optimization Problems

With the rapid development of trade globalisation, transportation plays a critical role, and outsourcing transportation has become a common;

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Multi-objective Management in Freight Logistics

transportation systems, with a specific focus on multi-objective modelling. It offers decision-makers methods and tools for implementing multi-objective;

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Multi-objective Management in Freight Logistics

transportation systems, with a specific focus on multi-objective modelling. It offers decision-makers methods and tools for implementing multi-objective;

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Multi-Objective Optimization Using Artificial Intelligence Techniques

flexibility, readers from any field of study can employ them for solving multi-objective optimization problem. The book provides the source codes for;

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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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Fundamentals of Optimization Techniques with Algorithms

traditional and advanced optimization techniques along with a variety of example problems, algorithms and MATLAB (c) code optimization techniques, for;

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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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Archiving Strategies for Evolutionary Multi-objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Archiving Strategies for Evolutionary Multi objective Optimization Algorithms

of the sets of optimal and nearly optimal solutions of multi-objective optimization problems by means of stochastic search algorithms. All;

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Advances in Swarm Intelligence

; theories and models of swarm intelligence; ant colony optimization; particle swarm optimization; artificial bee colony algorithms; genetic;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Dynamic Programming Multi-Objective Combinatorial Optimization

This book introduces a fairly universal approach to the design and analysis of exact optimization algorithms for multi-objective;

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Principles in Noisy Optimization

for dealing with stochastic noise in optimization problems are covered in journals and conference proceedings, today there are virtually no;

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Multi-Objective Optimization Using Evolu

knowledge of multi-objective optimization and evolutionary algorithms Provides an extensive discussion on the principles of multi-objective;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Advances in Swarm Intelligence

; and firefly algorithm. Part II: multi-objective optimization; portfolio optimization; community detection; multi-agent systems and swarm;

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Mathematical Optimization Terminology

of power distribution systems. It includes a short survey on model-based evolutionary algorithms and study on parameter optimization for support;

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Parallel Problem Solving from Nature -- PPSN XIV

optimization: why and how; evolutionary multi-objective optimization; intelligent systems for smart cities; advances on multi-modal optimization;

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A Brief Introduction to Continuous Evolutionary Optimization

problem is available except via function evaluations. This work introduces a collection of heuristics and algorithms for black box optimization;

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MultiObjective Optimization using Evolutionary Algorithms

research* Can be used as a course text or for self--study* Accessible to those with limited knowledge of classical multi--objective optimization;

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Advances in Dynamics, Optimization and Computation

algorithms for computing general invariant sets, constructing globally optimal controllers and solving multi-objective optimization problems.;

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Nested algorithms for optimal reservoir operation and their embedding in a decision support platform

Reservoir operation is a multi-objective optimization problem, and is traditionally solved with dynamic programming (DP) and stochastic;

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Nested Algorithms for Optimal Reservoir Operation and Their Embedding in a Decision Support Platform

Reservoir operation is a multi-objective optimization problem, and is traditionally solved with dynamic programming (DP) and stochastic;

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Genetic Algorithms

latest issues and provides insights into various theoretical and technical aspects of evolutionary multi-objective optimization problems and;

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Fuzzy Multiple Objective Decision Making

Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization;

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Fuzzy Multiple Objective Decision Making

Multi-objective programming (MOP) can simultaneously optimize multi-objectives in mathematical programming models, but the optimization;

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