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Evolutionary Algorithms
This chapter introduces the concepts of evolutionary algorithms. The evolutionary algorithms are based on Darwin’s theory of evolution by natural...
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Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey
As potent approaches for addressing computationally expensive optimization problems, surrogate-assisted evolutionary algorithms (SAEAs) have garnered...
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Socio-inspired evolutionary algorithms: a unified framework and survey
It is well recognized that human societies and their problem-solving capabilities have evolved much faster than biological evolution. The inspiration...
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An indoor scene recognition system based on deep learning evolutionary algorithms
Blind and visually impaired (BVI) face various problems during their navigation. Being unable to rely on sight greatly restricts their capacity to...
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Simultaneous optimization of design and maintenance for systems using multi-objective evolutionary algorithms and discrete simulation
When projecting and building new industrial facilities, getting integrated design alternatives and maintenance strategies are of critical importance...
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Recent Evolutionary Computing Algorithms and Industrial Applications: A Review
Evolutionary computing algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems in...
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Bi-indicator driven surrogate-assisted multi-objective evolutionary algorithms for computationally expensive problems
This paper presents a bi-indicator-based surrogate-assisted evolutionary algorithm (BISAEA) for multi-objective optimization problems (MOPs) with...
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Multi-objective optimum design of propellers using the blade element theory and evolutionary algorithms
A multi-objective optimum design of propellers is presented. Traditionally, the definition of propellers is done by choosing models that already...
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A novel triple-structure coding to use evolutionary algorithms for optimal sensor placement integrated with modal identification
Optimal sensor placement (OSP) is a challenging combinatorial problem commonly addressed using Genetic algorithms (GAs), which are well suited to...
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Improving two-layer encoding of evolutionary algorithms for sparse large-scale multiobjective optimization problems
Sparse large-scale multiobjective problems (LSMOPs) are characterized as an NP-hard issue that undergoes a significant presence of zero-valued...
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Sports mental health monitoring based on multi-objective evolutionary algorithms in the Internet of Things
With the increasing popularity of sports such as football and basketball, many policy reforms are striving to strengthen the education of sports...
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A pairwise ranking estimation model for surrogate-assisted evolutionary algorithms
Surrogate-assisted evolutionary algorithms (SAEAs) have attracted considerable attention for reducing the computation time required by an EA on...
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Evolutionary Algorithms Based Model Predictive Control for Vehicle Lateral and Roll Motion Control
This paper proposes a trajectory tracking strategy based on a linear extended bicycle vehicle model and a linear tire model. Model predictive control...
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Infectious Disease Modeling: From Traditional to Evolutionary Algorithms
The recent worldwide catastrophe named COVID-19 has motivated experts from various fields to contribute to tackling the situation, such as by...
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An Overview of Simulation-Based Multi-objective Evolutionary Algorithms
This overview is a recent literature on simulation-based multi-objective evolutionary algorithms (SMOEAs) capable of handling stochastic multiple...
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Improved estimation of algebraic states for nonlinear descriptor systems by integration of evolutionary algorithms within EKF framework
The systems in descriptor form arise during modeling which differs from conventional state space models. The extended Kalman filter (EKF) for...
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MATLAB-Open Source Tool Based Framework for Test Generation for Digital Circuits Using Evolutionary Algorithms
This paper proposes an automated framework for test generation for digital circuits, using evolutionary algorithms (EAs) such as Genetic Algorithm...
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A Comprehensive Survey on Higher Order Neural Networks and Evolutionary Optimization Learning Algorithms in Financial Time Series Forecasting
The financial market volatility has been a focus of study for experts over past decades. While stockbrokers and investors expect reliable projections...
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Multi-objective Evolutionary Algorithms for Coverage and Connectivity Aware Relay Node Placement in Cluster-Based Wireless Sensor Networks
Wireless sensor networks (WSNs) have been extensively explored due to their incredible capabilities and ever-growing field of applications. In...
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Multiobjective Evolutionary Algorithms for Engineering Design Problems
As computation tools have evolved, along with the emergence of industrial breakthroughs, there has been a proliferation of engineering design real...