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Evolutionary Algorithms and Their Applications in Intelligent Systems
The paper presents applications of evolutionary algorithms in intelligent systems. The research and literature review were performed based on the...
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Performance Analysis of 5 G Wireless Hybrid Precoding Using Evolutionary Algorithms
Emerging 5G communication solutions utilize the millimeter wave (mmWave) band to alleviate the spectrum deficit. In the mmWave range, Multiple Input...
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Hardest Monotone Functions for Evolutionary Algorithms
The hardness of optimizing monotone functions using the \((1+1)\)...
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Multi-Objective Optimization for Sustainable Machining of Hastelloy C-276 Using Evolutionary Algorithms
The use of petroleum-based lubricants in machining processes is dubious due to environmental hazards and risks to human health. Plant-based cutting...
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Introduction to Evolutionary Algorithms
Evolutionary algorithmEvolutionary algorithms comprise a class of optimization techniques that imitate principles of biological evolution. They...
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On the impact of information-sharing model between subpopulations in the Island-based evolutionary algorithms: search manager framework as a case study
The island model is an effective alternative to implement a standalone, hybrid, or parallel evolutionary algorithm that has been focused in the last...
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Evolutionary Artificial Intelligence Proceedings of ICEAI 2023
This book gathers a collection of selected works and new research results of scholars and graduate students presented at International Conference on...
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Application of Swarm Intelligence and Evolutionary Computation Algorithms for Optimal Reservoir Operation
Real-world problems often contain complex structures and various variables, and classical optimization techniques may face difficulties finding...
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Out-of-the-box parameter control for evolutionary and swarm-based algorithms with distributed reinforcement learning
Parameter control methods for metaheuristics with reinforcement learning put forward so far usually present the following shortcomings: (1) Their...
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A reference vector adaptive strategy for balancing diversity and convergence in many-objective evolutionary algorithms
Decomposition-based multiobjective evolutionary algorithms (MOEA/D) have achieved great success in the field of evolutionary multiobjective...
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Explicit Multiobjective Evolutionary Algorithms for Flow Shop Scheduling with Missing Operations
AbstractThe impact of Industry 4.0 on production systems has significantly enhanced personalized production services for products customization,...
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Evolutionary algorithms for a simheuristic optimization of the product-service system design
Offering Product-Service Systems (PSS) becomes an established strategy for companies to increase the provided customer value and ensure their...
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Dynamic Optimization of Role Concepts for Role-Based Access Control Using Evolutionary Algorithms
To ensure the security of current information systems, role-based access control (RBAC) is a widely used concept. For this purpose, based on an...
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Self-Adjusting Evolutionary Algorithms for Multimodal Optimization
Recent theoretical research has shown that self-adjusting and self-adaptive mechanisms can provably outperform static settings in evolutionary...
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The OpenELM Library: Leveraging Progress in Language Models for Novel Evolutionary Algorithms
In recent years, Large Language Models (LLMs)Large language models have rapidly progressed in their capabilities in natural language processing (NLP)...
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Global Localization of Unmanned Ground Vehicles Using Swarm Intelligence and Evolutionary Algorithms
Mobile robot localization is a complex task, specially in unstructured indoor environments, due to noise and wrong scan-to-map association. The...
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L1-Norm and LMS Based Digital FIR Filters Design Using Evolutionary Algorithms
The suggested work in this paper involves the construction of digital filters by utilizing optimization algorithms to compute optimum filter...
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Switching strategy-based hybrid evolutionary algorithms for job shop scheduling problems
Since production efficiency and costs are directly affected by the ways in which jobs are scheduled, scholars have advanced a number of...
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Novel Evolutionary Computing Algorithms for Robot Calibration
This chapter discusses an improved covariance matrix adaptation evolution strategy and a quadratic interpolated beetle antennae search algorithm for...
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Mixing Grain to Improve Profitability in Winter Wheat Using Evolutionary Algorithms
This paper considers an important component of the wheat distribution problem known as grain mixing (wheat blending). We represent the grain mixing...
