InfoQ

Platform Teams Enabling AI - MCP/Multi-Agentic Tools Across Linkedin

LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering.
IEEE

Runtime Analysis of Evolutionary Algorithms for Multi-Party Multi-Objective Optimization

Abstract: In scenarios where multiple decision-makers operate within a common decision space, each focusing on their own multi-objective optimization problem (e.g., bargaining games), the problem can ...
Scientific Research Publishing

Deb, K. (2011) Multi-Objective Optimisation Using Evolutionary Algorithms: An Introduction. In: Wang, L.H., Ng, A.H.C. and Deb, K., Eds., Multi-Objective Evolutionary ...

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 ...
Frontiers

Robust multi-objective optimization framework for performance-based seismic design of steel frame with energy dissipation system

Modern seismic codes ensure life safety, but code-compliant buildings can still suffer significant economic losses from earthquake-induced damage, even during moderate events. Performance-Based ...
IEEE

Multi-Objective Optimization Algorithms for Energy Management System in Microgrids Including Control Strategy

Renewable energy (RE) offers a promising solution to address the electricity shortages in isolated and rural areas. Microgrid (MG) can incorporate various energy sources, including renewable ...
Scientific Research Publishing

A Review of Intelligent Optimization Algorithms in Supply Chain Networks ()

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...