Effective solutions for the capacitated vehicle routing problem and for the split delivery vehicle routing problem with time windows. (c2013) حسب Hilal, Nathalie

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Predicting Patient ICU Readmission Using Recurrent Neural Networks With Long Short-Term Memory حسب Nadia Rasheed (22997257)

Spatially-Distributed Missions With Heterogeneous Multi-Robot Teams حسب Eduardo Feo-Flushing (23276023)

"…Both combine a generic MILP solver and a genetic algorithm, resulting in efficient anytime algorithms. …"

A Survey of Machine Learning Innovations in Ambulance Services: Allocation, Routing, and Demand Estimation حسب Reem Tluli (22282702)

"…<p dir="ltr">In the realm of Emergency Medical Services (EMS), the integration of Machine Learning (ML) techniques has emerged as a catalyst for revolutionizing ambulance operations. ML algorithms could play a pivotal role in dynamically allocating resources, devising efficient routes, and predicting demand patterns. …"

Hybrid Cooperative Co-evolution for Large Scale Optimization حسب El-Abd, Mohammed

"…In CC, multiple instances of the same evolutionary algorithm work in parallel, each optimizes a different subset of the problem in hand. …"
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Cooperative Co-evolution using LSHADE with Restarts For The CEC15 Benchmarks حسب El-Abd, Mohammed

"…In this paper, we test the performance of an LSHADE Cooperative Co-evolutionary (CC) algorithm using the CEC15 benchmarks. …"
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Scatter search for homology modeling حسب Mansour, Nashat

"…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. SS is an evolutionary approach that is based on a population of candidate solutions. …"
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An Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Network حسب Aravind, R.

"…In particular, the Energy-Aware Clustering Protocol for Underwater Sensor Networks (EAC-UWSN) is improved with help of evolutionary approaches. The proposed Evolutionary Density and Grid-based Clustering Algorithm (EDA-UWSN) is a two-step process of using grid and density-based to find out the dense cells and then to clusters them optimally. …"
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Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

"…SS is an evolutionary approach that is based on a population of candidate solutions. …"
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Recent Advances in Harris Hawks Optimization: A Comparative Study and Applications حسب Hussie, Abdelazim

"…Moreover, several experiments were carried out to prove the powerfulness and effectivness of HHO compared with nine other state-of-art algorithms using Congress on Evolutionary Computation (CEC2005) and CEC2017. …"
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A Comparative State-of-the-Art Constrained Metaheuristics Framework for TRUSS Optimisation on Shape and Sizing حسب El-Abd, Mohammed

"…To handle these challenges, evolutionary and swarm optimisation algorithms can be robust and practical tools and show great potential to solve such complex problems. …"
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Designing Cellular Mobile Networks Using Non{Deterministic Iterative Heuristics حسب Sait, Sadiq M.

"…As a classic instance of the NP-hard Quadratic Assignment Problem (QAP), deterministic algorithms are incapable of nding optimal solutions in the vast complex search space in polynomial time. …"
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Digital circuit design through simulated evolution (SimE) حسب Sait, Sadiq M.

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HPTS: heterogeneous parallel tabu search for VLSI placement حسب Al-Yamani, A.

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Hybrid Cooperative Co-evolution for the CEC15 Benchmarks حسب El-Abd, Mohammed

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Swarm intelligence-based hyper-heuristic for the vehicle routing problem with prioritized customers حسب Tarhini, Abbas

"…The results indicate that the solution selected by the Cuckoo Search-based hyper-heuristic outperformed the modified Clarke Wright algorithm while taking into consideration the customers’ priority and demands and the vehicle capacity.…"
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An Iterative Heuristic for State Justi�cation in Sequential Automatic Test Pattern Generation حسب El-Maleh, Aiman H.

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Tuning of a fuzzy logic power system stabilizer using geneticalgorithms حسب Abido, M.A.

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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. To overcome issues of feature extraction and multi-modal fusion, hybrid fuzzy-evolutionary computation methodologies are employed to demonstrate ultra-strong capability of learning features and dimensionality reduction. …"
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Particle swarm optimization for multimachine power systemstabilizer design حسب Abido, A.A.

"…In this paper, a novel evolutionary algorithm based approach to optimal design of multimachine power system stabilizers (PSSs) is proposed. …"
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