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Evolution Strategies for Sparse Reward Gridworld Environments
We investigate evolution strategies (ES) - an optimisation technique originally developed in the 1960s – for learning policies that work effectively...
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A backtracking differential evolution with multi-mutation strategies autonomy and collaboration
This paper presents a backtracking differential evolution with multi-mutation strategies autonomy and collaboration (bDE-MsAC) to solve the...
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Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization
The energy resource management problem in energy systems is hard to optimize, mainly due to non-linear restrictions and a large number of variables...
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Low-Memory Matrix Adaptation Evolution Strategies Exploiting Gradient Information and Lévy Flight
The Low-Memory Matrix Adaptation Evolution Strategy is a recent variant of CMA-ES that is specifically meant for large-scale numerical optimization....
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Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training
The learning process of feedforward neural networks, which determines suitable connection weights and biases, is a challenging machine learning...
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Tafl-ES: Exploring Evolution Strategies for Asymmetrical Board Games
NeuroEvolution Strategies (NES) are a subclass of Evolution Strategies (ES). While their application to games and board games have been studied in...
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Socio-cognitive Evolution Strategies
Socio-cognitive computing is a paradigm developed for the last several years, it consists in introducing into metaheuristics mechanisms inspired by...
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The Evolution of Government Strategies from IT to Digitalization: A Comparative Study of Two Time Periods in Swedish Local Governments
In this paper we explore the evolution of the use of digital technology in the public sector. We do so by analyzing a corpus of IT- and...
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Hierarchical adaptive evolution framework for privacy-preserving data publishing
The growing need for data publication and the escalating concerns regarding data privacy have led to a surge in interest in Privacy-Preserving Data...
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Joining Emission Data from Diverse Economic Activity Taxonomies with Evolution Strategies
In this paper, we consider the question of data aggregation using the practical example of emissions data for economic activities for the...
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Online concept evolution detection based on active learning
Concept evolution detection is an important and difficult problem in streaming data mining. When the labeled samples in streaming data insufficient...
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Differential evolution with variable leader-adjoint populations
The performance of differential evolution (DE) is significantly affected by the selection of mutation strategies and control parameters....
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Refining differential evolution with mutation rate and neighborhood weight local search
Differential Evolution (DE) is a population-based metaheuristic search algorithm that exhibits excellent performance. However, it is sensitive to...
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Teachers’ perceptions of teaching science with technology-enhanced self-regulated learning strategies through the DECODE model
This study investigates the nuanced interplay between self-regulated learning (SRL) and technological pedagogical content knowledge (TPACK) among 192...
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Differential evolution with the mutation strategy transformation based on a quartile for numerical optimization
Differential evolution (DE) is an evolutionary algorithm that is straightforward but effective and has been satisfactorily implemented in a variety...
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Towards a Principled Learning Rate Adaptation for Natural Evolution Strategies
Natural Evolution Strategies (NES) is a promising framework for black-box continuous optimization problems. NES optimizes the parameters of a...
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Strategy evolution on higher-order networks
Cooperation is key to prosperity in human societies. Population structure is well understood as a catalyst for cooperation, where research has...
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Adaptive Strategies Metric Suite
Self-Adaptive Systems (SAS) are able to cope with the changes occurring dynamically in their execution environment in an autonomous and automated...
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Scalability and Autoscaling Strategies
In this chapter, we will explore the fundamental principles and advanced strategies for achieving scalability, with a focus on autoscaling...
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Understanding Seniors’ Strategies for Identifying Deepfakes
Deepfake videos are increasingly prevalent on social media, posing risks, especially for seniors lacking technological familiarity. The study aims to...