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 ...
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

Combinatorial Optimization and Integer Programming Techniques

Combinatorial optimization and integer programming form the backbone of decision-making models in which discrete choices must be made under constraints. At its core, integer programming specialises in ...
IEEE

Adaptive Convergence Indicator and Neighborhood Fuzzy Crowding Distance for Multimodal Multi-Objective Optimization

Abstract: Multimodal multi-objective optimization is a popular research direction characterized by different points on different Pareto optimal solution sets (PSs) in the decision space, corresponding ...
Federal Register

AI-Enabled Optimization of Early-Phase Clinical Trials Pilot Program; Request for Information

This site displays a prototype of a “Web 2.0” version of the daily Federal Register. It is not an official legal edition of the Federal Register, and does not replace the official print version or the ...
usace.army.mil

Army program aims to defeat multiple battlefield threats simultaneously

REDSTONE ARSENAL, Ala. (April 28, 2026) – Modern warfare has evolved beyond single threats. Enter MSET. Developed by the U.S. Army Combat Capabilities Development Command Aviation & Missile Center, ...