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Evolutionary Constrained Optimization

This book makes available a self-contained collection of modern research addressing the general constrained optimization problems using;

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Evolutionary Multi-Criterion Optimization

This book constitutes the refereed proceedings of the 11th International Conference on Evolutionary Multi-Criterion Optimization, EMO 2021;

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A Brief Introduction to Continuous Evolutionary Optimization

. Heuristic extensions are presented that allow optimization in constrained, multimodal and multi-objective solution spaces. An adaptive penalty;

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Parallel Problem Solving from Nature -- PPSN XIV

included sixteen free tutorials to give us all the opportunity to learn about new aspects: gray box optimization in theory; theory of evolutionary;

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Constraint-Handling in Evolutionary Optimization

the aim of putting together recent studies on constrained numerical optimization using evolutionary algorithms and other bio-inspired;

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Frontiers in Pde-Constrained Optimization

This volume provides a broad and uniform introduction of PDE-constrained optimization as well as to document a number of interesting and;

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Explanation Constrained Optimization Eco

In a constrained optimization problem, the decisionmaker wants to select the optimal choice - the one most valuable to him or her - that;

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Alternating Direction Method of Multipliers for Machine Learning

Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type;

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Real-Time PDE-Constrained Optimization

difficulties. A particularly challenging class of PDE-constrained optimization problems is characterized by the need for real-time solution, i.e;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

Classical and Evolutionary Algorithms in the Optimization of Optical Systems presents research results in the field of classical and;

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Self-Adaptive Heuristics For Evolutionary Computation

question arises: how can evolutionary algorithms learn parameters automatically during the optimization? Evolution strategies gave an answer;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry

with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry Problems

with a comprehensive introduction to and overview of three main approaches to trajectory optimization, and subsequently focuses on the design;

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Inverse Radiosurgery Treatment Planning Through Deconvolution and Constrained Optimization

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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Evolutionary Multi-Objective System Design

type of optimization is generally called multi-objective or multi-criterion optimization. The area of research that applies evolutionary;

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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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Intelligent System Applications In Power Engineering

This text on evolutionary computation presents an account of neural network and evolutionary programming applications as optimization;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Evolutionary Computation

- and multi-objective optimization, and then goes on to discuss to explore applications of evolutionary algorithms for many uses with real-world;

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Convex Optimization

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems;

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Evolutionary Learning

evolutionary algorithms to address optimization problems in machine learning, and has yielded encouraging outcomes in many applications. However, due;

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Numerical Optimization

This book starts with illustrations of the ubiquitous character of optimization, and describes numerical algorithms in a tutorial way. It;

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Multimodal Optimization by Means of Evolutionary Algorithms

, parallel evolutionary algorithms, and global optimization. The author explains niching in evolutionary algorithms and its benefits; he;

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MultiObjective Optimization using Evolutionary Algorithms

Evolutionary algorithms are relatively new, but very powerful techniques used to find solutions to many real--world search and optimization;

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Evolutionary Data Clustering

-verse optimizer, Harris hawks optimization, beta-hill climbing optimization. The book also covers applications of evolutionary data clustering;

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Numerical and Evolutionary Optimization 2018

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