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A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011)
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The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers
Published 2021“…The application of the control algorithm managed to increase the reductions in the façade heat gain from 33.5% to 38.3%.The system, integrated with the control algorithm, is then applied throughout the year on spaces located in Doha (Qatar) and Riyadh (Saudi Arabia), mimicking cities with harshly hot humid and dry weather conditions, respectively. …”
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The application of control algorithm for optimal performance of evaporatively-cooled façade system in hot dry and humid weathers
Published 2021“…</p><p dir="ltr">The system, integrated with the control algorithm, is then applied throughout the year on spaces located in Doha (Qatar) and Riyadh (Saudi Arabia), mimicking cities with harshly hot humid and dry weather conditions, respectively. …”
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Distributed optimal coverage control in multi-agent systems: Known and unknown environments
Published 2024“…<p>This paper introduces a novel approach to solve the coverage optimization problem in multi-agent systems. The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. …”
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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
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Teaching–learning-based optimization algorithm: analysis study and its application
Published 2024“…The teaching–learning-based optimization (TLBO) algorithm is a novel nature-based optimization approach that has attracted a lot of interest from researchers because of its great capacity to handle optimization problems. …”
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A Hybrid Approach for Predicting Critical Machining Conditions in Titanium Alloy Slot Milling Using Feature Selection and Binary Whale Optimization Algorithm
Published 2023“…The t-test and the binary whale optimization algorithm (BWOA) were applied to choose the best features and train the support vector machine (SVM) model with validation and training data. …”
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Salp swarm algorithm: survey, analysis, and new applications
Published 2024“…This chapter offers the sea salmon-associated polyp (SALP) swarm algorithm (SSA) and multipurpose SSA (MSSA) as new optimization algorithms for solving optimization problems with single and multiple objectives. …”
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Holistic Design: Optimizing Mechatronic Systems Using Multi Objective Optimization
Published 2015Get full text
doctoralThesis -
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Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing
Published 2024“…In this paper, we propose an enhanced optimization algorithm tailored for task scheduling in cloud environments. …”
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Whale optimization algorithm: analysis and full survey
Published 2024“…The survey further discusses the algorithm's performance on a wide range of optimization problems, showcasing its competitiveness and effectiveness. …”
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Metaheuristic Optimization Algorithms for Training Artificial Neural Networks
Published 2012“…The Cuckoo Search (CS) algorithm is a recently developed meta-heuristic optimization algorithm which is suitable for solving optimization problems. …”
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A Survey of cuckoo search algorithm: optimizer and new applications
Published 2024“…The CS algorithm is further validated for solving numerous technological optimization challenges. …”
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Effective uncertain fault diagnosis technique for wind conversion systems using improved ensemble learning algorithm
Published 2023“…<p>This paper introduces a pioneering fault diagnosis technique termed Interval Ensemble Learning based on Sine Cosine Optimization Algorithm (IEL- SCOA), tailored to tackle uncertainties prevalent in wind energy conversion (WEC) systems. …”
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A multiobjective optimization method for the SOC Test Time, TAM, and power optimization using a strength pareto evolutionary algorithm
Published 2017“…This paper presents a multiobjective optimization approach for the SOC test scheduling problem. …”
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