Dynamic Multi-Objective Optimization Techniques Publication Trend The graph below shows the total number of publications each year in Dynamic Multi-Objective Optimization Techniques.

One of the primary challenges in wind energy development is optimizing the spatial layout of wind turbines within a given ...

In this study, a multi-objective optimization methodology is used to assess the crashworthiness of an aluminum foam-filled battery box designed for passenger cars. Unlike most research focusing on ...

In this work, a study of economic and emission dispatch issues based on the multi-objective optimization is solved, and generation costs and emissions are reduced by utilizing multi-objective ...

This study proposes an improved whale optimization algorithm. The algorithm has four improvement strategies: chaotic mapping, nonlinear convergence factor, adaptive crossover strategy and reverse ...

2 Optimization algorithm and surrogate model 2.1 Multi-objective optimization problem Multi-objective optimization is a prevalent challenge in modern complex industrial systems (Cui et al., 2017).

Innovative AI techniques in cement formulation lead to eco-friendly mixes, significantly cutting emissions and improving efficiency in construction materials.

Architecture Optimization using Surrogate-based Incremental Learning for Quality-attribute Analyses Abstract: Several approaches have tackled automated architecture exploration using multi-objective ...

Tan Liu, Qinyun Yuan, Lina Wang, Yonggang Wang, Nannan Zhang, Multi-objective optimization for oil-gas production process based on compensation model of comprehensive energy consumption using improved ...