Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...

300+ open source evolutionary algorithms 600+ open source benchmark problems Powerful GUI for performing experiments in parallel Generating results in the format of Excel or LaTeX table by one-click ...

Following the success of our coding workshop series, we are excited to bring back our MATLAB workshop this year! 🥳 This session is designed to be beginner-friendly, using biomedical engineering ...

Ant colony optimization (ACO) is a class of heuristic algorithms proposed to solve optimization problems. The idea was inspired by the behavior of real ants, related to their ability to find the ...

Abstract: This article presents an optimization design methodology for LLC resonant converters, aimed at optimizing both converter losses and the volume of magnetic components. The optimization ...

This webpage presents the best-known Pareto fronts of twelve benchmark design problems of Water Distribution Systems. These problems were collected from the literature and the Pareto fronts were ...

A detailed numerical simulation of Colored Self-Compacting Concrete (CSCC) was conducted in this research. Emphasis was placed on an innovative calibration methodology tailored for ten unique CSCC mix ...

The exponential distribution optimizer (EDO) represents a heuristic approach, capitalizing on exponential distribution theory to identify global solutions for complex optimization challenges. This ...

This repository contains the source code for the “Thompson sampling efficient multiobjective optimization” (TSEMO) algorithm outlined in (Bradford et al., 2018). The algorithm is written to optimize ...