To speed up low-carbon energy transition, MIT scientists have created a new digital twin system called MFRNet for industrial biomass combustion ...

Decentralized protocols allow practically limitless access across multiple platforms. This opens a series of problems both at the level of individual users and industry-wide. The main problem is how ...

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 ...

rmoo is a non-dominated sorting based multi-objective optimization package built upon the ‘GA’ package. It provides a comprehensive, flexible, and modular framework for multi/many-objective ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

Reactor radiation-shielding optimization methods are proposed by combining many-objective evolutionary algorithms with particle-transport calculation software that can optimize the reactor ...

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

With the continuous improvement and gradual maturity of renewable energy technology based mainly on solar energy and hydropower, many countries pay attention to distributed power generation with ...