Multiobjective Evolutionary Algorithms for Electric Power Dispatch Problem by Abido, M. A.

“…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …”
Get full text

Multiobjective evolutionary algorithms for electric power dispatch problem by Abido, M.A.

“…The potential and effectiveness of the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) for solving a real-world power system multiobjective nonlinear optimization problem are comprehensively discussed and evaluated in this paper. …”
Get full text
Get full text

Implementation of trust region methods in optimization. (c1998) by Hajj, Mohammed Omar

Get full text
Get full text

Evolutionary algorithms for VLSI multi-objective netlist partitioning by Sait, Sadiq M.

“…In this paper, we engineer three iterative heuristics for the optimization of VLSI netlist bi-partitioning. These heuristics are based on Genetic Algorithms (GAs), Tabu Search (TS) and Simulated Evolution (SimE). …”
Get full text

Fuzzy simulated evolution algorithm for topology design of campusnetworks by Youssef, H.

“…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …”
Get full text
Get full text

Simultaneous stabilization of multimachine power systems viagenetic algorithms by Abdel-Magid, Y.L.

“…The problem of selecting the parameters of power system stabilizers which simultaneously stabilize this set of plants is converted to a simple optimization problem which is solved by a genetic algorithm with an eigenvalue-based objective function. …”
Get full text
Get full text

A new genetic algorithm approach for unit commitment by Mantawy, A.H.

“…In the proposed algorithm, coding the solution of the unit commitment problem is based on mixing binary and decimal representations. …”
Get full text
Get full text

An Algorithm For Computing The Distance Between Two Circular Disks by Almohamad, H.A.

“…Instead, we propose for the latter case an iterative algorithm based on computing the distance between a fixed point and a circle. …”
Get full text

Online Control and Optimization of Directional Drilling by unknown

“…Gravitational Search Algorithm (GSA) is developed to search for optimal settings of the proposed controller. …”
Get full text

Optimal supercharge scheduling of electric vehicles by Atallah, Ribal F.

“…The distributed game-theoretical approach recorded promising results especially when compared to the well-known shortest job first scheduling algorithm. Further, unlike the other approaches, which normally are centralized and suited for offline scheduling, the game-based method is suited for online scheduling since it played at anytime a batch of EVs requests charging services. …”
Get full text
Get full text
Get full text
Get full text

Optimal Sizing and Techno-Economic Analysis of Hybrid Renewable Energy Systems—A Case Study of a Photovoltaic/Wind/Battery/Diesel System in Fanisau, Northern Nigeria by Nasser Yimen (16697129)

“…In the first step, the MATLAB environment was used to run simulations and optimize the system via the genetic algorithm. Then, techno-economic and emissions analysis was carried out in the second step to compare the proposed system to the existing traditional modes of rural electrification in sub-Saharan Africa, namely, the grid-extension and diesel generator. …”

Environmental/economic power dispatch using multiobjective evolutionary algorithms by Abido, M.A.

“…The EED problem is formulated as a nonlinear constrained multiobjective optimization problem. A new strength Pareto evolutionary algorithm (SPEA) based approach is proposed to handle the EED as a true multiobjective optimization problem with competing and noncommensurable objectives. …”
Get full text
Get full text

A FUZZY EVOLUTIONARY ALGORITHM FOR TOPOLOGY DESIGN OF CAMPUS NETWORKS by Youssef, H.

“…To intensify the search, we have also incorporated Tabu Search-based characteristics in the allocation phase of the SE algorithm. …”
Get full text

Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

Subjects:

A family of minimum curvature variable-methods for unconstrained optimization. (c1998) by Obeid, Samir Y.

Get full text
Get full text

Optimizing Aircraft Pitch Control Systems: A Novel Approach Integrating Artificial Rabbits Optimizer with PID-F Controller by Abualigah, Laith

“…Comparative analysis with various optimization algorithm-based controllers from the literature demonstrates the effectiveness of the proposed technique. …”
Get full text

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

Get full text
Get full text

Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms by Harmanani, H. M.

“…The method maximizes concurrent testing of modules while performing the allocation of functional units, test registers, and interconnects. The method is based on a genetic algorithm that efficiently explores the testable design space and finds a sub-optimal test registers assignment for each k-test session. …”
Get full text
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

Design and Optimization of a Planar Cable Robot by Kassem, Mohamad Hassan

Get full text