Reinforcement learning for routing in communication networks by Andrag, Walter H.

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A Computational Intelligence Approach to Clustering of Temporal Data

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The artificial immune system with evolved lymphocytes

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Calibrating models to data: a comparison of methods by Suboi, Zenabu

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Geometric optimisation of conjugate heat transfer in cooling channels with different cross-sectional shapes

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Game, Set, Empower: A Comparative Instagram Analysis of Branding and Engagement in the Confederation of African Football (CAF) Women’s and Men’s Champions League by Abdelkader, Nour, Ms

“…Interviews also identified key challenges: a male-skewed audience, algorithmic pressure, and a lack of female voices in content creation. …”
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A Virtual-Reality-Based Dental Simulator for Endodontics with Automated Formative Feedback by Abo El Ela, Yousef Salah

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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…The two algorithms were tested using a 24-hour load, generation and utility grid tariff profiles under static optimization conditions. …”
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

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Load balancing using cell range expansion in LTE advanced heterogeneous networks by Nyembe, Wiseman Nkosingiphile

“…Then, we use cell range expansion, and logarithmic utility functions to design a load balancing algorithm. In the algorithm, user and base station associations are optimized by adapting CRE bias to pico base station load status. …”
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Cooperative transport in swarm robotics. Multi object transportation by Hamouda, Aalaa Ibrahim

“…We call our algorithm Multi Robotics Darwinian Particle Swarm Optimization (MRDPSO). …”
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Parametric Yield and Tolerance Optimisation of Electromagnetic Devices using Feature-based Non-Linear Partial Least Squares Polynomial Chaos Expansion Surrogates by Nfanyana, Ketshabile

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Multi-purpose applications of energy storage systems in a power system network by Okafor, Chukwuemeka Emmanuel

“…This resulted in a fair optimization process with enhanced results. Additionally, by deploying the new metaheuristic algorithm, the DSO, the computational time was reduced compared with other metaheuristic algorithms such as the particle swarm optimization (PSO) and genetic algorithm (GA). …”
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A Model for the Sustainable Achievement of the Optimum Return for Crops in Greenhouses by ElNahas, Eman

“…This study provides a tool for accurate estimation of the irrigation water needs for various crop combinations under different environmental conditions; and employs a genetic optimization algorithm to reach optimum combinations. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Recently, metaheuristic optimization algorithms, including particle swarm optimization (PSO), genetic algorithm (GA), etc., have been used to deal with the limitations of classical methods. …”
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Single queue priority scheduler for video transmission in IEEE 802.11 networks by Adeleke, Joshua Adejare

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Machine learning methods for large deviations by Cloete, Daniël Willem Hendrik

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Recursive marginal quantization: extensions and applications in finance by Rudd, Ralph

“…When applied to two-factor models, recursive marginal quantization becomes computationally inefficient as the optimization problem usually requires stochastic methods, for example, the randomized Lloyd’s algorithm or Competitive Learning Vector Quantization. …”
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Energy management of micro-grid using cooperative game theory by Oladejo, Ismaheel Oyeyemi

“…This is in contrast with other heuristic algorithms such as genetic algorithm (GA) and particle swarm optimization (PSO) that require other control parameters (i.e. …”
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