In this paper, we propose a generic approach to find compromise solutions for multiple-objective scheduling problems using metaheuristics. As an illustration, we present a new hybrid tabu ...

In this paper we further investigate the problem of finding nadir criterion values (minimum criterion values over the nondominated set) in multiple objective linear programming. Although easy to ...

Abstract: In this paper, we use the interval-valued fuzzy sets to derive linear programming in the fuzzy sense from crisp multiple objective programming. For many practical problems, if we just used ...

This project focuses on solving a bi-objective linear programming problem using various optimization techniques in MATLAB. The objective is to identify Pareto optimal solutions through different ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

Abstract: We propose a novel neural architecture search (NAS) approach for the challenge of designing convolutional neural networks (CNNs) that achieve a good tradeoff between complexity and accuracy.

Abstract: At present, supply chain management has become not only a hot academic research, but also an important respect of the enterprise strategic management. A multi-product, multi-stage integrated ...