Special Issue "Metaheuristics Optimization for Real-World Applications"

Submission Deadline: 19 April 2023
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Guest Editors
Dr. Marwa M. Eid, Delta University for Science and Technology, Egypt.
Dr. Shady Y. El-Mashad, Benha University, Egypt.
Dr. Abdelhameed Ibrahim, Mansoura University, Egypt.
Dr. Abdelaziz A. Abdelhamid, Ain Shams University, Egypt.
Dr. El-Sayed M. El-kenawy, Delta University for Science and Technology, Egypt.

Summary

Metaheuristic optimization deals with optimization problems using metaheuristic algorithms to solve a single objective, and sometimes, optimal solutions may not exist. Finding an optimal solution or even sub-optimal solutions is not an easy task. Most optimizations problems are highly nonlinear, multimodal, and complex constraints or have features that make them hard to be solved with exact techniques.

 

This special issue covers a wide variety of topics concerning

metaheuristics for real-world optimization problems in different areas: manufacturing, renewable energy, image processing, finance, physics, economics, artificial intelligence, etc.


Keywords
Metaheuristics and machine learning
Hybrid metaheuristics
Swarm Intelligence
Evolutionary Algorithms
Time Series and Forecasting
Parallel metaheuristics
Deep learning
Big Data applications