Learn about the most effective optimization techniques and models for industrial engineering projects, their software, applications, and challenges.

In recent years, with the rapid development of the electric vehicle industry, the optimal scheduling problem for electric vehicles for corporate attendance has become a research focus. This paper ...

Discover the flaws in existing averaging techniques for multi-objective optimization (MOO) and explore improved solutions. Gain insights from correctly interpreted examples and enhance your ...

Learn how to optimize with multiple objectives in artificial intelligence (AI) and optimization problems using multi-objective optimization (MOO) methods and examples.

In this paper, for the molding defects of MEMS sensors, a multi-objective optimization and decision-making method based on small-sample data-driven molding process parameters is proposed on the basis ...

OptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated ...

The use of multi-objective optimization for proportioning concrete mixtures is relatively underutilized in the literature. What literature exists can be generally grouped into two categories. The ...

OptFrame - C++17 (and C++20) Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Genetic Algorithm, Simulated Annealing, Tabu Search, Iterated ...