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Portfolio Optimization Using Fundamental Indicators Based on Multi-Objective EA

This work presents a new approach to portfolio composition in the stock market. It incorporates a fundamental approach using financial;

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

problems can be modelled as multi-objective formulations. This book provides an introduction to multi-objective optimization using meta-heuristic;

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Multi-objective Design Of Antennas Using Surrogate Models

This book addresses computationally-efficient multi-objective optimization of antenna structures using variable-fidelity electromagnetic;

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Multi-Objective Optimization Using Artificial Intelligence Techniques

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple;

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Design of Trajectory Optimization Approach for Space Maneuver Vehicle Skip Entry

highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription;

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

highlights the development of multi-objective spacecraft trajectory optimization problems, with a particular focus on multi-objective transcription;

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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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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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Evolutionary Constrained Optimization

evolutionary algorithms. Broadly the topics covered include constraint handling for single and multi-objective optimizations; penalty function based;

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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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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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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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Practical Financial Optimization

-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between;

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Practical Financial Optimization

-variance analysis and portfolio immunization, scenario-based models, multi-period dynamic portfolio optimization, and the relationships between;

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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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AIDA CMK Multi Algorithm Optimization Kernel Applied to Analog IC Sizing

optimizer component of AIDA, with a new multi-objective multi-constraint optimization module that constructs a base for multiple algorithm;

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Modeling, Assessment, and Optimization of Energy Systems

based on thermodynamic, exergoeconomic and exergoenviromental approaches. It provides advanced analytical approaches, assessment criteria and;

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Successful Stock Signals For Traders And Portfolio Managers

fundamental analysis will keep you in a portfolio of outperforming stocks, sharpen your fundamental buy discipline, and put your sell discipline on;

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Portfolio Optimization and Performance Analysis

standard portfolio optimization and performance measures. The book subsequently introduces dynamic portfolio optimization based on stochastic;

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Artificial Evolution

This book constitutes the thoroughly refereed post-conference proceedings of the 14th International Conference on Artificial Evolution, EA;

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Multi-objective Optimization

engineering.Following a brief introduction and general review on the development of multi-objective optimization applications in chemical engineering since 2000;

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Particle Swarm Optimization

modelled on swarm intelligence. Swarm intelligence is based on social-psychological principles and provides insights into social behaviour, as well;

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Multi-mode Active Vibration Control Using H Optimization MIMO Positive Position Feedback Based Genetic Algorithm

Multi-Mode Active Vibration Control Using H Optimization Mimo Positive Position Feedback Based Genetic Algorithm is een boek van Zhonghui;

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