Frontiers

CLMOAS: collaborative large-scale multi-objective optimization algorithms with adaptive strategies

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
BioSpace

Objective Biotechnology Launches First-Ever Automated Microinjection Robot for Genetic Research

MINNEAPOLIS--(BUSINESS WIRE)--Objective Biotechnology, a pioneer in next-generation research tools, today announced the commercial launch of the Autoinjector, the first fully automated robotic system ...
Frontiers

Operational response to contamination in water distribution systems: a multi-objective Bayesian optimization approach

1 Department of Civil Engineering, King Saud University, Riyadh, Saudi Arabia 2 Department of Civil, Materials, and Environmental Engineering, The University of Illinois Chicago, Chicago, IL, United ...
IEEE

GAMR: Revolutionizing Multi-Objective Routing in SDN Networks With Dynamic Genetic Algorithms

Abstract: The growing complexity of modern network systems has increased the need for efficient multi-objective routing (MOR) algorithms. However, existing MOR methods face significant challenges, ...
IEEE

Optimizing Traffic Speed Prediction Using a Multi-Objective Genetic Algorithm-Enhanced RNN for Intelligent Transportation Systems

Abstract: Over the past decade, major cities have faced significant traffic congestion, accidents, and pollution due to increased vehicle usage, urbanization, and migration. An Intelligent ...
Scientific Research Publishing

Optimal Planning of Multiple PV-DG in Radial Distribution Systems Using Loss Sensitivity Analysis and Genetic Algorithm ()

This paper introduces an optimized planning approach for integrating photovoltaic as distributed generation (PV-DG) into the radial distribution power systems, utilizing exhaustive load flow (ELF), ...