Pathways to potential actualisation: a qualitative meta-interpretation of 60 years’ theory, research, and interventions by Gush, Marianne

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Fast and Accurate Automatic Design of Spiral Inductors from High-Level Specification by Ismail, Heba

“…Various approaches tackle this difficulty, but the most prevalent approaches for designing inductors are using an electromagnetic simulator or a library of pre-designed inductors. …”
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Solving dynamic multi-objective optimisation problems using vector evaluated particle swarm optimisation

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Demand side management of a run-of-mine ore milling circuit

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Characterizing phosphate desorption kinetics from soil : an approach to predicting plant available phosphorus

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LC-ladder and capacitive shunt-shunt feedback LNA modelling for wideband HBT receivers

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Particle swarm optimisation in dynamically changing environments - an empirical study

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Online traffic engineering for MPLS networks by Botha, Marlene

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Formulation of Coffee Extract as Polymeric Nanoparticles and Studying their Potential Biological Activities by Sharaf, Nouran

“…Coffee extract was prepared and optimized (by solvent extraction) and subsequently entrapped into PLGA nanoparticles using single emulsion-solvent evaporation method (using Design Expert software). …”
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Portfolio Strategies Evaluation in Developed Markets: A Sectoral Analysis of Minimum- and Mean-Variance Portfolios by El-Sabban, Mariam A.

“…It attempts to assess the best performing and most efficient sector-country combinations by applying time variant (dynamic) portfolio optimization frameworks, primarily the minimum-variance and mean-variance models. …”
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A critical investigation into value adding principles for conducting an open pit conceptual study

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Microstructure and properties of laser beam and gas tungsten arc welded zirconium-2.5niobium

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A Model for the Sustainable Achievement of the Optimum Return for Crops in Greenhouses by ElNahas, Eman

“…Having a single crop will lead to an uneconomical system because the PV installed capacity will not be exploited most of the time. This research was conducted by establishing the required database, generating different scenarios, assessing the economic performance along its life, forming the optimization model using genetic algorithm (GA), and implementing the model using Microsoft-Excel. …”
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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Unlike other optimization methods such as numerical and soft computing techniques, RL does not require an accurate model of the optimization environment in order to arrive at an optimal solution. …”
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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

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Effective scheduling of hybrid batch and continuous processes

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Decentralized algorithm of dynamic task allocation for a swarm of homogeneous robots by AlShawi, Maha

“…This hybrid approach is based on both the Simulated Annealing (SA) optimization technique combined with the Discrete Particle Swarm Optimization (DPSO) technique. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Reinforcement learning (RL) is a model-free optimization approach that can learn solar PV behaviour and store and reuse optimization information for future optimization tasks. …”
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Hierarchical decision making patterns for the placement of physical supply chain entities by Phiroz, Zal Navroze

“…One of the most important areas of development within the evolution of commerce, is the acknowledgement that businesses can no longer compete as individual entities, but rather must function as part of a supply chain. …”
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Development of a specialised test rig for assessing the efficiency of large industrial induction machines by Kinyua, Jamlick Murimi

“…Eskom Demand Side management (DSM) embarked on strategies that would reduce the demand on electrical energy through optimization of electrical machines. Since most of the low voltage (LV) motors in the country are imported from different countries/nations, there is a clear need to quantify the efficiency of these machines. …”
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