IEEE

An Adaptive Constraint Relaxation Strategy Based Coevolutionary Algorithm for Constrained Multi-Objective Optimization

Abstract: Obtaining high-quality solutions for constrained multi-objective optimization problems (CMOPs) has been extensively researched in recent years. One popular approach is the coevolutionary ...
Scientific Research Publishing

On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics ()

Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...
Scientific Research Publishing

Study on the Implementation Path of Management by Objectives in the Progress of Foreign Government Loan Projects

Foreign Government Loan Projects, Project Progress Management, Work Breakdown Structure (WBS), PERT Duration Estimation Share and Cite: Zu, Z. H., & Yin, Y. H. (2026). Study on the Implementation Path ...
IEEE

A Special Points and Neural Network-Based Dynamic Multi-Objective Optimization Algorithm

Abstract: This paper introduces a special points and neural network- based dynamic multi-objective optimization algorithm (SPNN-DMOA) for solving dynamic multi-objective optimization problems (DMOPs) ...
SciELO

Robust Multi-objective Optimization Applied to Engineering Systems Design

In engineering systems design, theoretical deterministic solutions can be hardly applied directly to real-world scenarios. Basically, this is due to manufacturing limitations and environmental ...
Forbes

Solving The Multichannel Inventory Problem With AI

Selling products across multiple marketplaces like Amazon, eBay, Walmart and Wayfair can feel like juggling flaming swords. Each platform operates in its own world, showing a version of inventory that ...