GitHub

N-SriKrishna/ml-optimization-framework

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

Solving Multi-Objective Portfolio Optimization Problem Based on MOEA/D

Abstract: The Markowitz mean-variance (MV) model is the basis of modern portfolio theory, the goal of which is to choose an optimal set of weights with the maximum expected return for a given level of ...
Scientific Research Publishing

Umarusman, N. (2013) Min-Max Goal Programming Approach for Solving Multi-Objective de Novo Programming Problems. International Journal of Operations Re-search, 10, 92-99.

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

Ant Colony Algorithm for Solving Multi-objective Optimization Problems in Software Engineering

Abstract: With multi-objective becoming more and more important, ant colony algorithm has become an ideal tool to solve multi-objective optimization problems because of its unique positive feedback ...
Scientific Research Publishing

Abdel-Basset, M., Mohamed, R., Mirjalili, S., Chakrabortty, R.K. and Ryan, M. (2021) An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems ...

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 ...