Frontiers

Multi-objective optimization framework for sustainable olive oil supply chains: integrating environmental compliance with economic performance

1 Department of Quantitative Methods, University of Sousse, Sousse, Tunisia 2 Department of Quantitative Methods, College of Business, King Faisal University, Al-Ahsa, Saudi Arabia Introduction: ...
Scientific Research Publishing

Deb, K. (2001) Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley & Sons, Inc.

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

Efficiency-Oriented Multi-Objective Modulation Optimization for the Dual Active Bridge Converter Using Fuzzy Logic-Aided Strategy

Abstract: As a key component in modern power systems, dual active bridge (DAB) bidirectional DC-DC converters should maintain high efficiency across the full power range. Existing optimization ...
IEEE

Multi-Objective Optimization Design of an Axial-Flux Permanent Magnet Flywheel Machine Using Fuzzy Inference Taguchi Method

Abstract: The Taguchi method is an efficient method for machine optimization design. Unfortunately, the conventional Taguchi method is hard to obtain a complete set of nondominated solutions due to ...
The Next Platform

How Multi-Agent Systems Revolutionize Data Workflows

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...
Frontiers

A multi-level fuzzy comprehensive evaluation model to optimize biochar application schemes for potato cultivation in North China

Introduction: The North China region is a major potato production area, but water scarcity and poor soil fertility limit potato growth. Biochar is a promising approach to improve soil quality and ...
GitHub

In the context of dynamic multi-objective optimization using the DNSGA-II algorithm, the callback function should be executed after saving the optimization history?

In the context of using DNSGA2 to solve dynamic multi-objective optimization problems (DMOPs), a critical issue arises regarding the timing of the callback function execution and its impact on ...