A5008986898- Metaheuristic Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Evolutionary Algorithms and Applications
- Scheduling and Optimization Algorithms
- VLSI and FPGA Design Techniques
- Neural Networks and Applications
- Advanced Manufacturing and Logistics Optimization
- Medical Image Segmentation Techniques
- Fuzzy Logic and Control Systems
- Blind Source Separation Techniques
- Optimization and Mathematical Programming
- Vehicle Routing Optimization Methods
- Low-power high-performance VLSI design
- EEG and Brain-Computer Interfaces
- Advanced Algorithms and Applications
- Advanced Adaptive Filtering Techniques
- Advanced Image and Video Retrieval Techniques
- Advanced Optimization Algorithms Research
- Advanced Control Systems Optimization
- Anomaly Detection Techniques and Applications
- Analog and Mixed-Signal Circuit Design
- Time Series Analysis and Forecasting
- Assembly Line Balancing Optimization
- Advancements in Semiconductor Devices and Circuit Design
- Mobile Ad Hoc Networks
Université Paris-Est Créteil
2016-2025
Paris-Est Sup
2015-2024
Université Paris Cité
2011-2024
Laboratoire des signaux et systèmes
2009-2023
Laboratoire Images, signaux et systèmes intelligents
2010-2023
Mouloud Mammeri University of Tizi-Ouzou
2023
University of Sfax
2021
University of Johannesburg
2021
Taif University
2021
Hopital Universitaire Habib Bourguiba
2021
A new global optimization algorithm for functions of many continuous variables is presented, derived from the basic Simulated annealing method. Our main contribution lies in dealing with high-dimensionality minimization problems, which are often difficult to solve by all known methods or without gradient. In this article we take a special interest discretization issue. We also develop and implement several complementary stopping criteria. The original Metropolis iterative random search,...
The application of fractional calculus to signal processing and adaptive learning is an emerging area research. A novel approach that utilizes presented in this paper. In particular, a steepest descent proposed. quadratic energy norm studied, the stability convergence our proposed method are analyzed detail. implemented numerically its experimentally.