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Evolutionary Algorithms
The focus of this chapter is on Evolutionary Algorithms, which have a wide variety of applications in sports and sports science. Their application is...
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Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms
Reward tampering is a problem that will impact the trustworthiness of the powerful AI systems of the future. Reward Tampering describes the problem...
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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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An Introduction to Evolutionary Computation and Evolutionary Algorithms
Numerous techniques exist in science for tackling large-scale optimisation problems. In many instances, scientists must identify the best solution...
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Runtime Analysis of Competitive Co-evolutionary Algorithms for Maximin Optimisation of a Bilinear Function
Co-evolutionary algorithms have a wide range of applications, such as in hardware design, evolution of strategies for board games, and patching...
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Creative collaboration with interactive evolutionary algorithms: a reflective exploratory design study
Progress in AI has brought new approaches for designing products via co-creative human–computer interaction. In architecture, interior design, and...
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Filter pruning based on evolutionary algorithms for person re-identification
Filter pruning has drawn much attention for releasing the limitations of person re-identification (ReID) in resource-constrained platforms due to the...
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Maximum likelihood estimation for discrete latent variable models via evolutionary algorithms
We propose an evolutionary optimization method for maximum likelihood and approximate maximum likelihood estimation of discrete latent variable...
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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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Evaluation of sparsity metrics and evolutionary algorithms applied for normalization of H&E histological images
Color variations in H&E histological images can impact the segmentation and classification stages of computational systems used for cancer diagnosis....
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Design and optimization of diffraction-limited storage ring lattices based on many-objective evolutionary algorithms
Multi-objective evolutionary algorithms (MOEAs) are typically used to optimize two or three objectives in the accelerator field and perform well....
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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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How to Improve Neural Network Training Using Evolutionary Algorithms
Artificial neural networks are a staple of modern artificial intelligence. These systems must often undergo a training procedure to learn how to...
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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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A survey of designing convolutional neural network using evolutionary algorithms
Convolutional neural networks (CNN) are highly effective for image classification and computer vision activities. The accuracy of CNN architecture...
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Application of Evolutionary Algorithms in Social Networks: A Comparative Machine Learning Perspective
Social networks exhibit interactions that lead to event changes in their communities. It is imperative to track community events to understand an...
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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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Optimizing doubly stochastic matrices for average consensus through swarm and evolutionary algorithms
Doubly-stochastic matrices play a vital role in modern applications of complex networks such as tracking and decentralized state estimation,...
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Adaptive evolutionary algorithms for portfolio selection problems
In this contribution we propose to solve complex portfolio selection problems via Evolutionary Algorithms (EAs) that resort to adaptive parameter...
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Evolutionary design of explainable algorithms for biomedical image segmentation
An unresolved issue in contemporary biomedicine is the overwhelming number and diversity of complex images that require annotation, analysis and...
