A fast constructive algorithm for fixed channel assignment problem by Khan, J.A.

“…In this work, a fast constructive algorithm is introduced to solve the problem. The objective of the algorithm is to obtain a conflict free channel assignment to cells which satisfies traffic demand requirements. …”
Get full text
Get full text

A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by El-Amin, I.

“…The implicit enumeration algorithm was used to check the validity and the quality of the Tabu search solution. …”
Get full text

A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units by Duffuaa, S. O.

“…The implicit enumeration algorithm was used to check the validity and the quality of the Tabu search solution. …”
Get full text

Bee colony algorithm for assigning proctors to exams. (c2013) by Taha, Mohamad Kassem

Get full text
Get full text

Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…This work aims to enhance the performance of the K-means algorithm by introducing a novel method for selecting the initial centroids, thereby minimizing randomness and reducing the number of iterations needed to reach optimal results. …”
Get full text
Get full text
Get full text

Parallel scatter search algorithms for exam timetabling. (c2009) by Haidar, Ghia Abdullah Sleiman

Get full text
Get full text

Economic load dispatch using memetic sine cosine algorithm by Abu Zitar, Raed

“…In this paper, the economic load dispatch (ELD) problem which is an important problem in electrical engineering is tackled using a hybrid sine cosine algorithm (SCA) in a form of memetic technique. ELD is tackled by assigning a set of generation units with a minimum fuel costs to generate predefined load demand with accordance to a set of equality and inequality constraints. …”
Get full text

A genetic-based algorithm for fuzzy unit commitment model by Mantawy, A.H.

“…The model takes the uncertainties in the forecasted load demand and the spinning reserve constraints in a fuzzy frame. The genetic algorithm (GA) approach is then used to solve the proposed fuzzy UCP model. …”
Get full text
Get full text

A Simulated Annealing Algorithm For Fuzzy Unit Commitment Problem by Mantawy, A. H.

“…A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. Numerical results show the superiority of the solutions obtained compared to the classical methods and the simulated annealing method as individual.…”
Get full text

A simulated annealing algorithm for fuzzy unit commitment problem by Mantawy, A.H.

“…A simple cooling schedule has been implemented to apply the simulated annealing test in the algorithm. Numerical results show the superiority of the solutions obtained compared to the classical methods and the simulated annealing method as individual…”
Get full text
Get full text

Animal migration optimization algorithm: novel optimizer, analysis, and applications by Abualigah, Laith

“…It is based on the animal actions and habits in migration seasons. Optimization algorithms are applied to find the optimal solutions in many domains and fields such as image processing, machine learning, and others. …”
Get full text

A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

“…A parallel simulator, based on PVM, was implemented for the proposed algorithm on a Linux Cluster. Many graphs were tested, all yielding optimum solutions…”
Get full text
Get full text

Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

“…One of the key challenges, however, is the strain on power grid infrastructure that comes with large-scale EV deployment. The solution to this lies in utilization of smart scheduling algorithms to manage the growing public charging demand. …”
Get full text

Adapted arithmetic optimization algorithm for multi-level thresholding image segmentation: a case study of chest x-ray images by Abu Zitar, Raed

“…The picture histogram was used to construct the candidate solutions in the modified algorithms, which were then updated according to the algorithm's features. …”
Get full text

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

“…The operator of the G-WOA is a hybrid operator integrating GA’s mutation, crossover, and selection processes with the WOA’s processes (encircling prey, attacking of bubble-net, and searching for prey) to fulfill the balance between both exploitation and exploration, and to find the solutions that exhibit the highest fitness. For evaluating the performance of the ontology learning approach, extensive comparisons are conducted using different Arabic corpora and bio-inspired optimization algorithms. …”
Get full text
Get full text

CCSA: Cellular Crow Search Algorithm with topological neighborhood shapes for optimization by Abou Doush, Iyad

“…In evolutionary computation, systematically structuring the population is used to manage the evolution process. …”
Get full text
Get full text

Best Polynomial Harmony Search with Best β-Hill Climbing Algorithm by Abu Doush, Iyad

“…Harmony Search Algorithm (HSA) is an evolutionary algorithm which mimics the process of music improvisation to obtain a nice harmony. …”
Get full text
Get full text

Spider monkey optimizations: application review and results by Abualigah, Laith

“…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …”
Get full text

Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

“…The slime mould algorithm (SMA) gives good results in finding the best solutions to optimization problems. …”
Get full text

Modified arithmetic optimization algorithm for drones measurements and tracks assignment problem by Abu Zitar, Raed

“…Simulations and comparisons show the ability of those evolutionary-based algorithms to solve this kind of problem efficiently. …”
Get full text