Results 61 to 70 of about 111,305 (313)

New Conjugate Gradient Method for Unconstrained Optimization with Logistic Mapping

Science Journal of University of Zakho, 2016
In this paper , we suggested a new conjugate gradient algorithm for unconstrained optimization based on logistic mapping, descent condition and sufficient descent condition for our  method are provided. Numerical results show that our presented algorithm
Shareef G. Shareef, Hussein A. Khatab, Sawsan S. Ismael   +2 more
doaj  

Hybrid rule‐based and optimization‐driven framework for the synthesis of end‐to‐end optimal pharmaceutical processes

AIChE Journal, EarlyView.
Abstract The modernization of pharmaceutical manufacturing is driving a shift from traditional batch processing to continuous alternatives. Synthesizing end‐to‐end optimal (E2EO) manufacturing routes is crucial for the pharmaceutical industry, especially when considering multiple operating modes—such as batch, continuous, or hybrid (containing both ...
Yash Barhate, Daniel J. Laky, Daniel Casas‐Orozco, Gintaras V. Reklaitis, Zoltan K. Nagy   +4 more
wiley   +1 more source

Real‐Time Motion Generation for Robot Manipulators in Complex Dynamic Environments

Advanced Intelligent Systems, EarlyView.
A motion generation method for robot manipulators in complex dynamic environments is presented. The method integrates global motion planning with local obstacle avoidance, ensuring continuous movement toward dynamically measured target poses. An online distance calculation algorithm is developed, and a collision‐free motion generator is proposed that ...
Tianyu Zhang, Hongguang Wang, Peng Lv, Xin'an Pan, Daqian Wang, Bingbing Yuan, Huiyang Yu   +6 more
wiley   +1 more source

New Three –Term CG-Method for Unconstrained Optimization [PDF]

Al-Rafidain Journal of Computer Sciences and Mathematics, 2013
In this paper, we proposed  a new three-term  nonlinear Conjugate Gradient  (CG) method for solving unconstrained optimization problems. The new three-term method generates decent direction with an inexact line search under Wolfe conditions and the ...
Ban Mitras, Nada Hassan
doaj   +1 more source

Cooperative Merging in Mixed Traffic Based on Strategic Influence of Connected Automated Vehicles on Human‐Driven Vehicle Behavior

Advanced Intelligent Systems, EarlyView.
This study proposes an optimization‐based cooperative merging strategy for connected and automated vehicles (CAVs) in mixed traffic. By leveraging the strategic influence of CAVs on human‐driven vehicles (HDVs), the method reduces uncertainties in HDV behavior and improves traffic flow, achieving up to 31% reduction in average travel time delay ...
Kyunghwan Choi, Seongjae Shin, Minseok Seo   +2 more
wiley   +1 more source

Self‐Rhythmic Soft Pneumatic Pressure Regulation System Based on Self‐Excited Oscillation of Jet Hose

Advanced Intelligent Systems, EarlyView.
This study presents a soft pneumatic pressure regulation system that uses self‐excited hose oscillations to convert constant pressure (90–150 kPa) into rhythmic output. Simulations and experiments demonstrate tunable oscillation frequencies (5.9–11.1 Hz) through adjustments in pressure, hose length, and jet hole diameter.
Fenglin Han, Huang Xiong, Qixin Li, Jing Yang, Chunli He, Xueyi Guo, Zhi Chen   +6 more
wiley   +1 more source

Invariant Neuromorphic Representations of Tactile Stimuli Improve Robustness of a Real‐Time Texture Classification System

Advanced Intelligent Systems, EarlyView.
This work presents a method to create neuron‐like (neuromorphic) spiking representations of texture that are invariant to the scanning speed and contact force applied in the tactile sensing process. In offline and real‐time experiments, these representations improve classification accuracy, computational efficiency, and the ability to identify textures
Mark M. Iskarous, Zan Chaudhry, Fangjie Li, Samuel Bello, Sriramana Sankar, Ariel Slepyan, Natasha Chugh, Christopher L. Hunt, Rebecca J. Greene, Nitish V. Thakor   +9 more
wiley   +1 more source

An Adaptive Particle Swarm Optimization Algorithm for Unconstrained Optimization

Complexity, 2020
Conventional optimization methods are not efficient enough to solve many of the naturally complicated optimization problems. Thus, inspired by nature, metaheuristic algorithms can be utilized as a new kind of problem solvers in solution to these types of
Feng Qian, Mohammad Reza Mahmoudi, Hamïd Parvïn, Kim-Hung Pho, Bui Anh Tuan   +4 more
doaj   +1 more source

A new solving procedure by m-M calculus for problems of constrained optimization [PDF]

Yugoslav Journal of Operations Research, 2007
In this paper we state two procedures for constrained optimization based on the concepts of m-M Calculus. The first procedure is called basic and the second is called quick solving procedure. The quick solving procedure is very effective.
Prešić Slaviša
doaj   +1 more source

Robust optimal distance‐based formation control of uncertain nonlinear agents over directed topologies

Asian Journal of Control, EarlyView.
Abstract This paper studies a formation control problem with distance constraints for nonlinear agents with uncertainties. Controlling an edge is assigned to only one of its incident agents. Directed graph theory is used to model the desired formation topology.
Reza Babazadeh, Rastko R. Selmic
wiley   +1 more source