Sensitivity to parameters and general applicability of genetic algorithms and simulated annealing algorithms for mapping data to multicomputers. (c1994) حسب Kawash, Jalal Y.

احصل على النص الكامل
احصل على النص الكامل

Development of an Optimization Algorithm for Internet Data Traffic حسب Misbahuddin, Syed

"…In this paper, an optimization algorithm is proposed to reduce net data traffic, which works at Internet layer in the TCP/IP reference model. …"
احصل على النص الكامل

A deterministic heuristic algorithm for optimal multiprocessor scheduling. (c1995) حسب Moujabber, Bassam N.

احصل على النص الكامل
احصل على النص الكامل

Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

"…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"

An ant colony optimization algorithm to improve software quality prediction models حسب Azar, D.

"…We use an ant colony optimization algorithm in the adaptation process. The approach is validated on stability of classes in object-oriented software systems and can easily be used for any other software quality characteristic. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems حسب Wali Khan Mashwani (14590504)

"…All these developed algorithms have some merits and also demerits. Particle swarm optimization (PSO), firefly algorithm, ant colony optimization (ACO), and bat algorithm (BA) have gained much popularity and they have successfully tackled various test suites of benchmark functions and real-world problems. …"

A new family of multi-step quasi-Newton algorithms for unconstrained optimization حسب Obeid, Samir

"…It concentrates on deriving a variable-metric family of minimum curvature algorithms for unconstrained optimization. The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …"
احصل على النص الكامل
احصل على النص الكامل

A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

"…Second, a hybrid genetic-whale optimization algorithm was proposed to optimize ontology learning from Arabic text. …"
احصل على النص الكامل
احصل على النص الكامل

On the Optimization of Band Gaps in Periodic Waveguides حسب Jamil Renno (14070771)

"…Five nature-inspired optimization algorithms: Genetic Algorithm (GA), Differential Evolution (DE), Grey Wolf Optimizer (GWO), Improved Grey Wolf Optimizer (IGWO), and Particle Swarm Optimization (PSO) are compared. …"

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

"…In this work, we use a biologically inspired genetic algorithm because crossover employed in such algorithm significantly improve the quality of multimodal discriminative set of features and hence improve the classification accuracy for diversified natural scene text images. …"

A decentralized load balancing strategy for parallel search-three optimization. (c2010) حسب Mouawad, Amer E.

احصل على النص الكامل
احصل على النص الكامل

A localized navigation algorithm for radiation evasion for nuclear facilities: Optimizing the "Radiation Evasion" criterion: Part I حسب Khasawneh, Mohammad

احصل على النص الكامل

Automatic Modulation Recognition Based on the Optimized Linear Combination of Higher-Order Cumulants حسب Asad Hussain (10135049)

Image-Based Air Quality Estimation Using Convolutional Neural Network Optimized by Genetic Algorithms: A Multi-Dataset Approach حسب Arshad Ali Khan (23152516)

"…The convolutional neural network is optimized using genetic algorithms, which dynamically tune hyper-parameters such as learning rate, batch size, and momentum to improve performance and generalizability across diverse environmental conditions. …"

Incremental Genetic Algorithm حسب Mansour, Nashat

"…Classical Genetic Algorithms (CGA) are known to find good sub-optimal solutions for complex and intractable optimization problems. …"
احصل على النص الكامل
احصل على النص الكامل

Topics in graph algorithms حسب Abu-Khzam, Faisal Nabih

"…Coping with computational intractability has inspired the development of a variety of algorithmic techniques. The main challenge has usually been the design of polynomial time algorithms for NP-complete problems in a way that guarantees some, often worst-case, satisfactory performance when compared to exact (optimal) solutions. …"
احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل

Wind, Solar, and Photovoltaic Renewable Energy Systems with and without Energy Storage Optimization: A Survey of Advanced Machine Learning and Deep Learning Techniques حسب Abu Zitar, Raed

"…Various types of Deep Learning (DL) and Machine Learning (ML) algorithms employed in Solar and Wind energy supplies are given. …"
احصل على النص الكامل

Exam scheduling algorithms. (c1999) حسب Mikati, Ziad

احصل على النص الكامل
احصل على النص الكامل

Incremental & classical genetic algorithm. (c2001) حسب Awad, Mohamad M.

احصل على النص الكامل
احصل على النص الكامل

A SIMULATED ANNEALING ALGORITHM FOR THE CLUSTERING PROBLEM حسب Selim, S.Z.

"…We also find optimal parameters values for a specific class of data sets and give recommendations on the choice of parameters for general data sets. …"
احصل على النص الكامل