Results 51 to 60 of about 5,597,765 (175)

Optimization of Sightseeing Paths in Tourism Park Based on Improved Ant Colony Algorithm

Kongzhi Yu Xinxi Jishu
The intelligent navigation system of tourism parks typically functions to recommend diverse sightseeing paths for tourists of different age groups, comprehensively considering factors such as path distances and the geographical location of all the scenic
LIANG Jianheng
doaj   +1 more source

Research on the optimal path planning of coal exploration and rescue robot

Gong-kuang zidonghua, 2017
In order to solve path planning problem of coal exploration and rescue robots in three-dimentional environment, an optimal path planning method for coal exploration and rescue robot based on improved ant colony algorithm was proposed.
LI Xiaojing, YU Dongman
doaj   +1 more source

Operations Research‐Based Formalisation and Design of Sustainable Reverse Logistics for E‐Waste Supply Chains

Business Strategy and the Environment, EarlyView.
ABSTRACT This study demonstrates how a profitable, lean, and environmentally responsible e‐waste reverse logistics system can be designed using integrated Operations Research (OR) techniques. Addressing the growing urgency of responsible consumption (UN SDG 12) and the projected rise of the e‐waste sector to USD 137.60 billion by 2029, the research ...
Sheeba Pathak, Hajar Fatorachian
wiley   +1 more source

Effects of Camber of S‐Series Airfoils on Aerodynamic Performance, Entropy Generation Rate, Irreversibility, and Second Law Efficiency of Horizontal Axis Wind Turbines

Energy Science &Engineering, EarlyView.
Due to the depletion of fossil fuels, enhancing wind turbine efficiency is crucial. Utilizing airfoils with high lift‐to‐drag ratios significantly improves power generation by optimizing aerodynamic parameters. Furthermore, entropy generation analysis serves as an effective method for design optimization by minimizing energy losses and exergy ...
Mitra Yadegari
wiley   +1 more source

A memetic ant colony optimization algorithm for the dynamic travelling salesman problem [PDF]

, 2010
Copyright @ Springer-Verlag 2010.Ant colony optimization (ACO) has been successfully applied for combinatorial optimization problems, e.g., the travelling salesman problem (TSP), under stationary environments.
Yang, S, Shengxiang Yang, Mavrovouniotis, M, Michalis Mavrovouniotis, Yang, Shengxiang, Mavrovouniotis, Michalis   +5 more
core   +1 more source

Double Ant Colony Algorithm Based on Collaborative Mechanism and Dynamic Regulation Strategy

Jisuanji kexue yu tansuo, 2021
Aiming at the problem that the ant colony algorithm has slow convergence rate and poor diversity in solving traveling salesman problem (TSP), double ant colony algorithm based on collaborative mechanism and dynamic regulation strategy is proposed ...
MENG Jingwen, YOU Xiaoming, LIU Sheng
doaj   +1 more source

Improved Power Tracking and Performance Evaluation Using a Tri‐Meta Hybrid DOA–CSA–WOA‐Based MPPT Controller for Standalone PV System

Energy Science &Engineering, EarlyView.
A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas, Muhammad Farhan, Nouman Safdar, Muhammad Junaid Rabbani, Mohammad Rashed M. Altimania, Waleed Mohammed Abdelfattah, Hafiz Mudassir Munir   +6 more
wiley   +1 more source

Smooth Path Planning of Mobile Robot Based on Improved Ant Colony Algorithm

Journal of Robotics, 2021
Aiming at the problems of slow convergence, easy to fall into local optimum, and poor smoothness of traditional ant colony algorithm in mobile robot path planning, an improved ant colony algorithm based on path smoothing factor was proposed. Firstly, the
Wenming Wang, Jiangdong Zhao, Zebin Li, Ji Huang   +3 more
doaj   +1 more source

Smart Parking Systems: A Review of Optimization Techniques and Technological Advances

Energy Science &Engineering, EarlyView.
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee, Mohammad Kohzadipour, Majid Valizadeh, Mohammad Saeedi Kia, Milad Karimian, Mohammad Sharifirad   +5 more
wiley   +1 more source

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]

, 2013
The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B., Abdelbar, Ashraf M., Salama, Khalid M., Freitas, Alex A.   +3 more
core   +1 more source