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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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Basics of Evolutionary Computation Algorithms
This chapter mainly introduces some basic concepts and components about evolutionary algorithms (EAs). A brief origination and history of...
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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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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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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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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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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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Machine Learning Applications of Evolutionary and Metaheuristic Algorithms
Evolutionary algorithms and other meta-heuristic approaches enjoy widespread popularity when dealing with challenging engineering design problems...
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Improving evolutionary algorithms with information feedback model for large-scale many-objective optimization
Recently, many evolutionary algorithms have been proposed. Compared to other algorithms, the core of the many-objective evolutionary algorithm using...
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Study of Evolutionary Algorithms for Multi-objective Optimization
There are two prominent principles of any information retrieval system precision and analysis. Precision is the proportion of correct documents...
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Energy Consumption of Evolutionary Algorithms in JavaScript
Green computing is a methodology for saving energy when implementing algorithms. In environments where the runtime is an integral part of the...
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EvoFolio: a portfolio optimization method based on multi-objective evolutionary algorithms
Optimal portfolio selection —composing a set of stocks/assets that provide high yields/returns with a reasonable risk—has attracted investors and...
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Evolutionary Algorithms for Fair Machine Learning
At present, supervised machine learning algorithms are ubiquitously used to learn predictive models that have a major impact on people’s lives....
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Runtime Analysis for Permutation-based Evolutionary Algorithms
While the theoretical analysis of evolutionary algorithms (EAs) has made significant progress for pseudo-Boolean optimization problems in the last 25...
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On the optimal design of low sidelobe level linear antenna arrays using a class of evolutionary algorithms
Antenna array synthesis problems are known to be nonlinear and non-convex optimization problems which require more robust optimization techniques...
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Two parameter-tuned multi-objective evolutionary-based algorithms for zoning management in marine spatial planning
Strategic spatial planning is becoming more popular around the world as a decision-making way to build a unified vision for directing the medium- to...