Quantum Speed Technology Targeting Multi-Trillion-Dollar Infrastructure Efficiency Opportunity

News Commentary - Quantum speed is all about solving really big problems much faster than traditional computers. For ...

QScreen AI Advances Quantum-Inspired Optimization with U.S. Patent Filing; Gains National Spotlight on CBC

QScreen AI Inc (CSE: QAI) (OTC Pink: PMEDF) (FSE: 3QP), an innovator fusing Quantum-AI technologies to transform health screening and employee wellness, today announced the filing of a provisional ...
Scientific Research Publishing

Central Force Optimization Applied to the PBM Suite of Antenna Benchmarks ()

Real-world optimization problems often require an external “modeling engine” that computes fitnesses or data that are then input to an objective function. These programs often have much longer ...
Scientific Research Publishing

Lotfi, S. and Karimi, F. (2017) A Hybrid MOEA/D-TS for Solving Multi-Objective Problems. Journal of AI and Data Mining, 5, 183-195.

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 ...
IEEE

Multi-Party Multi-Objective Optimization for Discrete Problems: A Case Study on Multi-Stakeholder Recommendation

Abstract: Multi-party multi-objective optimization, which aims to find a solution set that satisfies multiple decision makers (DMs) as much as possible, has attracted the attention of researchers ...
IEEE

A Decision Variables Classification-Based Evolutionary Algorithm for Constrained Multi-Objective Optimization Problems

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...