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 ...

Seeking to define more robust and executable structures, this article presents a computational framework for the optimal design of steel truss frames, which integrates two software of great prominence ...

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 ...

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 ...

The genetic roots of a disease or disorder do not always grow into clear cut, easily diagnosed clinical features. Even if a parent and child have the same genetic marker implicated in an outcome, such ...

This paper presents an optimized strategy for multiple integrations of photovoltaic distributed generation (PV-DG) within radial distribution power systems. The proposed methodology focuses on ...

Scientists from the Jackson Laboratory (JAX) have described how they combined stem cells from eight different mouse strains to create a model for studying neurological conditions that better mimics ...

Young people could be spared from going blind by a new genetic risk tool that could also help diagnose multiple sclerosis (MS) earlier, to start effective treatments. Optic neuritis is a condition ...