Mohamed Amine El Majdouli- Doctor of Engineering
- Professor (Assistant) at Mohammed V University
Mohamed Amine El Majdouli
- Doctor of Engineering
- Professor (Assistant) at Mohammed V University
About
8
Publications
751
Reads
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62
Citations
Introduction
Current institution
Additional affiliations
March 2015 - June 2015
Mohammed V University of Rabat, Faculty of Science
Position
- B.Sc Supervisor
Description
- The task was supervising a group of 6 B.Sc students during their final projects to obtain their B.Sc degree. The project aims to develop an online M.Sc degree examination tool for B.Sc students.
April 2014 - July 2014
Mohammed V University of Rabat, Faculty of Science
Position
- Lecturer
Description
- Developing an iOS app from scratch.
Education
September 2011 - September 2013
Publications
Publications (8)
This paper introduces a novel memetic solving technique for combinatorial optimization problems called "Lightning Inspired Search Algorithm" (LISA). Indeed, LISA uses a constructive mechanism to build promising solutions and efficiently covers the search space. This mechanism is totally inspired by the natural lightning formation and reported model...
Over the recent years, Fireworks Algorithm has recorded an increasing success on solving continuous optimization problems, due to its efficiency, simplicity and more importantly its rapid convergence to good optimums. Thus, the Fireworks Algorithm performance is now widely comparable with the most popular methods in the optimization field such as e...
This paper presents a novel optimization framework based on the Fireworks Algorithm for Big Data Optimization problems. Indeed, the proposed framework is composed of two optimization algorithms. A single objective Fireworks Algorithm and a multi-objective Fireworks Algorithm are proposed for solving the Big Optimization of Signals problem “Big-OPT”...
This paper presents a novel adaptation of the Fireworks Algorithm for single objective Big Data Optimization problems. In this context, the developed Single Objective Fireworks Algorithm (SOFWA) is proposed for solving the Big Optimization of Signals “Big-OPT” problem belonging to the Big Data Optimization problems class. Indeed, during an Encephal...
Per-Instance Algorithm Selection and Automatic Algorithm Configuration have recently gained important interests. However, these approaches face many limitations. For instance, the performance of these methods is deeply influenced by factors like the accuracy of the underlying prediction model, features space correlation, incomplete performance spac...
This paper investigates the optimization of EEG signals cleaning process by elaborating a comparative study of swarm intelligence, evolutionary and memetic computation techniques. In this context, algorithms from each technique have been selected notably Clonal Selection, Particle Swarm Optimization, Firefly Algorithm, Harmony Search and Fireworks...
This paper proposes a new pivoting rule named Oriented iterative improvement "OI" for local search heuristics extensively used in metaheuristics solving NP-Hard combinatorial optimization problems. Actually, OI consists in dividing the neighborhood of a solution into many subsets and orients the walk in the search space using information gathered f...
