The simulation-driven metaheuristic algorithms have been successful in solving numerous
problems compared to their deterministic counterparts. Despite this advantage, the …

Electric power systems foresee challenges in stability, especially at low inertia, due to the
strong penetration of various renewable power sources. The value of energy storage system …

Finding a feasible solution set for optimization problems in conflict with objective functions
poses significant challenges. Moreover, in such problems, the level of complexity may …

This survey compiles ideas and recommendations from more than a dozen researchers with
different backgrounds and from different institutes around the world. Promoting best practice …

This study proposes a robust method to improve the search performance of multi-objective
evolutionary algorithms (MOEAs) using a Pareto-based archiving mechanism and a …

Benchmarking and performance analysis play an important role in understanding the
behaviour of iterative optimization heuristics (IOHs) such as local search algorithms, genetic …

Benchmarking plays a crucial role in both development of new optimization methods, and in
conducting proper comparisons between already existing methods, particularly in the field of …

A metaheuristic is a collection of algorithmic concepts that can be used to define heuristic
methods applicable to a wide set of optimization problems for which exact/analytical …

Protein-peptide interactions have attracted the attention of many drug discovery scientists
due to their possible druggability features on most key biological activities such as …

The main content of this scientific article is the use of new technologies for teaching web
programming in higher education organizations, the analysis of the methods available …