1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...

Abstract: This paper introduces a new constraint handling technique for multi-objective evolutionary algorithms based on adaptive penalty functions and distance measures of an individual. These two ...

Abstract: This paper proposes a novel multi-objective grey wolf optimizer based on decomposition and adaptive constraint scaling (D-ACSMOGWO) to address the shortcomings of existing algorithms in ...

Researchers at Cornell University in the U.S. have developed a novel optimization model for agrivoltaic site design and benefits, which was demonstrated using irrigation-optimization relative to ...

This repository contains the code for the design and optimization of trajectories specifically for Mars Ascent Vehicles (MAVs), using a Multi-Objective Trajectory Optimization (MOTO) framework, with ...

Real Results: 3.67× smaller models, 2.48× faster inference, 96.6% accuracy retained ...

Autoscaling is the primary method to control the performance level and the cost of cloud-native systems, thereby making them ...