The maximum common subgraph problem حسب Abu-Khzam, Faisal N.

"…With its plethora of applications, MCS is a familiar and challenging problem. Many algorithms exist that can deliver optimal MCS solutions, but whose asymptotic worst-case run times fail to do better than mere brute-force, which is exponential in the order of the smaller graph. …"
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A Stochastic Newton-Raphson Method with Noisy Function Measurements حسب Saab, Khaled Kamal

"…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …"
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Experimental evaluation of multi-agent reinforcement learning in real-world scale-free networks حسب Al Hashimi, Rashid

"…Multi-agent reinforcement learning is a common method for optimizing agents' local decision in a distributed and scalable manner. …"
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Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information حسب M. Ghoniem, Rania

"…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …"
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Scatter search metaheuristic for homology based protein structure prediction. (c2015) حسب Stamboulian, Mouses Hrag

"…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …"
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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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Parameterization and compensation of friction forces using geneticalgorithms حسب Al-Duwaish, H.N.

"…A PI controller with parameters optimized using genetic algorithms is used to control the position of a DC motor with friction. …"
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Joint Planning of Smart EV Charging Stations and DGs in Eco-Friendly Remote Hybrid Microgrids حسب Shaaban, Mostafa

"…The planning problem jointly allocates and sizes a set of distributed generators (DGs) along with the EV charging stations to balance the supply with the total demand of regular loads and EV charging. The planning algorithm specifies optimal locations and sizes of the EV charging stations and DG units that minimize two conflicting objectives: (a) deployment and operation costs and (b) associated green house gas emissions, while satisfying the microgrid technical constraints. …"
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A method for data path synthesis using neural networks حسب Harmanani, H.

"…A sequential simulator was implemented for the proposed algorithm on a Linux Pentium PC under X Windows. Several circuits hare been attempted, all yielding sub-optimal solutions.…"
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Minimizing Mean Tardiness Subject To Unspecified Minimum Number Tardy For A Single Machine حسب Duffuaa, S. O.

"…It also uses an insertion algorithm which determines the optimal mean tardiness once the subset of tardy jobs is specified. …"
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Complexities of special matrix multiplication problems حسب Takche, J.

"…This paper develops optimal algorithms to multiply an n × n symmetric tridiagonal matrix by: (i) an arbitrary n × m matrix using 2nm − m multiplications; (ii) a symmetric tridiagonal matrix using 6n − 7 multiplications; and (iii) a tridiagonal matrix using 7n −8 multiplications. …"
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One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy حسب Duffuaa, S. O.

"…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. It is proved that the schedule generated by the proposed algorithm is indeed optimal.…"
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Cooperative Co-evolution using LSHADE with Restarts For The CEC15 Benchmarks حسب El-Abd, Mohammed

"…Second, the method adopts the LSHADE algorithm within the CC framework to simultaneously optimize the identified groups. …"
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An Efficient and Energy Aware Routing Protocol for Underwater Wireless Sensor Network حسب Aravind, R.

"…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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One-Machine Scheduling To Minimize Mean Tardiness With Minimum Number Tardy حسب Duffuaa, S. O.

"…In this paper the one-machine scheduling problem with the objective of minimizing the mean tardiness subject to maintaining a prescribed number of tardy jobs is analysed An algorithm for solving this problem is presented. It is proved that the schedule generated by the proposed algorithm is indeed optimal.…"
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Determining Dominant Wind Directions حسب Selim, S.Z.

"…Important properties of the problem are discussed and a convergent solution algorithm is designed. The algorithm could yield local optimal solutions. …"
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KT2C. (c2014) حسب Al Kawam, Ahmad

"…We introduce the K-way Thermal Chip Clustering (KT2C) algorithm; a VLSI chip partitioning algorithm that is used to reduce the chip’s temperature and prevent the formation of hotspots. …"
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How much is location information worth? حسب Srour, F. Jordan

"…In this paper we derive the worst-case ratio of an online algorithm for the Traveling Salesman Problem (TSP) with two disclosure dates. …"
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AI-Based Methods for Predicting Required Insulin Doses for Diabetic Patients حسب Azar, Danielle

"…Endocrinologists need to find a certain pattern in this data that would help them determine the optimal dosage of insulin to administer to each patient. …"
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Just-in-time defect prediction for mobile applications: using shallow or deep learning? حسب Raymon van Dinter (10521952)

"…While deep learning (DL) algorithms can provide state-of-the-art performance in many application domains, they should be carefully selected and designed for a software engineering problem. …"