The search everywhere optimization pyramid: How to build visibility before search

Your buyers already have a shortlist before they reach Google. Here’s how to influence the conversations that put brands on ...
IEEE

A Computationally Efficient Multi-Objective Design Optimization of SRM using K-Means Clustering and Artificial Neural Networks

Abstract: This paper presents a novel methodology for realizing a computationally efficient multi-objective design optimization (CE-MODO) of switched reluctance motors (SRMs). Existing MODO approaches ...
IEEE

Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-Objective Optimization

Abstract: Constrained multi-objective optimization problems (CMOPs) are of great significance in the context of practical applications, ranging from scientific to engineering domains. Most existing ...
Nature

Fuzzy Optimization Techniques for Multi-Objective Programming Problems

Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...
Nature

Fuzzy Optimization Techniques for Shortest Path Problems

Fuzzy optimization for shortest path problems addresses uncertainty in network weights by representing arc costs with fuzzy numbers rather than crisp values. By extending classical algorithms—such as ...