☆ 4.5 Article

Improved bald eagle search algorithm with dimension learning-based hunting for autonomous vehicle including vision dynamics

APPLIED INTELLIGENCE (2023)

Related references

Note: Only part of the references are listed.

Article Engineering, Civil

Data-Driven Robust Predictive Control for Mixed Vehicle Platoons Using Noisy Measurement

Jianglin Lan et al.

Summary: This paper investigates cooperative adaptive cruise control (CACC) for mixed platoons consisting of both human-driven vehicles (HVs) and automated vehicles (AVs). The paper proposes a data-driven model predictive control (MPC) that does not rely on the exact models of the vehicles or powertrain parameters. The proposed MPC ensures satisfaction of constraints and has the guarantee of establishing a safe and robustly stable mixed platoon.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2023)

Add to Collection

Article Automation & Control Systems

Finite-time tracking control for autonomous underwater vehicle based on an improved non-singular terminal sliding mode manifold

Xing Liu et al.

Summary: This paper investigates the finite-time tracking problem for autonomous underwater vehicles (AUVs) in the presence of external disturbance and modeling uncertainty. A finite-time tracking control scheme is proposed based on an improved non-singular terminal sliding mode manifold. Simulation results show the effectiveness of the proposed control scheme.

INTERNATIONAL JOURNAL OF CONTROL (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-ant colony optimization algorithm based on hybrid recommendation mechanism

Yifan Liu et al.

Summary: A multi-ant colony optimization algorithm based on hybrid recommendation mechanism is proposed to address the slow convergence speed and local optimum issues in solving the traveling salesman problem. The algorithm includes strategies such as heterogeneous multi-ant colony strategy, content-based recommendation strategy, and collaborative filtering recommendation mechanism. Experimental results show significant improvements in convergence speed and solution accuracy, particularly for large-scale problems.

APPLIED INTELLIGENCE (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

A Levy Flight motivated meta-heuristic approach for enhancing maximum loadability limit in practical power system

Debanjan Mukherjee et al.

Summary: Most practical engineering optimization problems are highly nonlinear and nonconvex, making it difficult for traditional optimization techniques to find optimal solutions. Population-based meta-heuristic techniques have gained popularity for their ability to handle the nature of these problems. A new Levy Flight based Adaptive Particle Swarm Optimization technique is proposed to overcome these challenges and is shown to outperform other PSO variants in various tests.

APPLIED SOFT COMPUTING (2022)

Add to Collection

Article Computer Science, Interdisciplinary Applications

A novel chaotic Henry gas solubility optimization algorithm for solving real-world engineering problems

Betul Sultan Yildiz et al.

Summary: The paper introduces a novel metaheuristic algorithm named chaotic Henry gas solubility optimization (CHGSO), which integrates chaotic maps into the optimization process to enhance convergence rate. The performance of CHGSO was evaluated on various constrained optimization problems in mechanical design and manufacturing, showing robust optimization capability.

ENGINEERING WITH COMPUTERS (2022)

Add to Collection

Article Environmental Sciences

A novel dual-scale ensemble learning paradigm with error correction for predicting daily ozone concentration based on multi-decomposition process and intelligent algorithm optimization, and its application in heavily polluted regions of China

Jianguo Zhou et al.

Summary: This paper proposes a novel ensemble learning paradigm for accurately predicting daily ozone concentration. By decomposing the original ozone series and utilizing optimized machine learning algorithms for prediction and correction, accurate ozone predictions are obtained. Experimental results show that the proposed model outperforms comparison models and demonstrates robustness and serviceability in different prediction scenarios.

ATMOSPHERIC POLLUTION RESEARCH (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Discrete fractional-order Caputo method to overcome trapping in local optima: Manta Ray Foraging Optimizer as a case study

Dalia Yousri et al.

Summary: Enhancing exploration and exploitation in metaheuristic optimization algorithms is crucial to avoiding local optima. A novel variant of the Manta ray foraging optimizer using fractional calculus has been proposed in this work to improve exploitation of optimal solutions and prevent premature convergence. The proposed algorithm demonstrates superior performance in various optimization problems and image segmentation tasks compared to state-of-the-art algorithms.

EXPERT SYSTEMS WITH APPLICATIONS (2022)

Add to Collection

Article Engineering, Marine

Robust nonlinear model predictive control of a bionic underwater robot with external disturbances

Zheping Yan et al.

Summary: This paper presents a novel two-dimensional trajectory tracking method based on robust nonlinear model predictive control (RNMPC) and central pattern generator (CPG) for bionic underwater robots with external disturbances. The proposed method establishes a mathematical model, designs a controller, and proves the stability of the controller through analysis. Simulation results demonstrate the effectiveness of the proposed method in tracking the trajectory of bionic underwater robots.

OCEAN ENGINEERING (2022)

Add to Collection

Article Computer Science, Artificial Intelligence

Archimedes optimization algorithm: a new metaheuristic algorithm for solving optimization problems

Fatma A. Hashim et al.

Summary: The paper introduces a new metaheuristic algorithm called Archimedes Optimization Algorithm (AOA), which is inspired by Archimedes' Principle in physics. Experimental results show that AOA outperforms other state-of-the-art metaheuristic algorithms in terms of convergence speed and exploration-exploitation balance, making it a high-performance optimization tool for solving complex problems.

APPLIED INTELLIGENCE (2021)

Add to Collection

Review Computer Science, Interdisciplinary Applications

Advanced Metaheuristic Algorithms on Solving Multimodal Functions: Experimental Analyses and Performance Evaluations

Yigit Cagatay Kuyu et al.

Summary: This study provides a comprehensive and fair investigation of seven metaheuristic algorithms developed in the last five years on twenty multimodal functions commonly used in literature. The experimental results were statistically analyzed using the Friedman test, demonstrating the strengths and weaknesses of each algorithm under each performance criterion.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Design and applications of an advanced hybrid meta-heuristic algorithm for optimization problems

Raghav Prasad Parouha et al.

Summary: This paper introduces an advanced hybrid algorithm haDEPSO to solve optimization problems by integrating the advantages of advanced DE and PSO. The efficiency of the algorithm is verified through various test suites, demonstrating its superiority in terms of accuracy and convergence speed.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

An improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation

Essam H. Houssein et al.

Summary: The paper introduces an enhanced version of the Marine Predators Algorithm (MPA) called MPA-OBL, which incorporates Opposition-Based Learning (OBL) to improve search efficiency and convergence. Through comprehensive experiments, MPA-OBL is shown to outperform other algorithms in solving complex optimization problems, demonstrating superior quality of solutions and faster convergence speed.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Green & Sustainable Science & Technology

Bald eagle search optimization on dual fueled reactivity controlled combustion ignition based engine characteristics by altering low reactive fuels

Arunachalam Gokul Karthik et al.

Summary: The study aims to investigate and enhance the emission, combustion, and performance characteristics of RCCI based diesel engines, comparing and optimizing the characteristics when using different proportions of methane added hydrogen and methanol fuels. Results show that the RCCI engine with hydrogen gas contributes to superior engine characteristics in terms of specific fuel consumption, brake thermal efficiency, cylinder pressure, CO2 and NOx emissions.

ENVIRONMENTAL PROGRESS & SUSTAINABLE ENERGY (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Performance evaluation of metaheuristics algorithms for workload prediction in cloud environment

Jitendra Kumar et al.

Summary: This research aims to investigate the performance of nature-inspired metaheuristic algorithms on workload prediction in a cloud environment, with the Blackhole Algorithm (BhA) showing promising results in predictive accuracy.

APPLIED SOFT COMPUTING (2021)

Add to Collection

Article Computer Science, Information Systems

An Improved Tunicate Swarm Algorithm for Global Optimization and Image Segmentation

Essam H. Houssein et al.

Summary: This study integrates a tunicate swarm algorithm (TSA) with a local escaping operator (LEO) to improve convergence rate and local search efficiency. The proposed TSA-LEO outperforms other metaheuristic algorithms in terms of fitness, peak signal-to-noise ratio, structural similarity, feature similarity, and segmentation findings, as shown in both CEC'2017 test suite and real-world problems.

IEEE ACCESS (2021)

Add to Collection

Article Information Science & Library Science

Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

Yogesh K. Dwivedi et al.

Summary: The development of artificial intelligence technology has the potential to significantly impact various industries and society as a whole. Industries ranging from finance to healthcare may be disrupted by AI technologies, and it is important to recognize the societal and industrial influence on the pace and direction of AI development.

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT (2021)

Add to Collection

Article Robotics

Deep Reinforcement Learning Controller for 3D Path Following and Collision Avoidance by Autonomous Underwater Vehicles

Simen Theie Havenstrom et al.

Summary: Control theory provides engineers tools to design controllers for dynamical systems, but decision-making becomes challenging in complex systems. Using Deep Reinforcement Learning (DRL) techniques, autonomous agents can achieve a hybrid objective without prior knowledge, shown to be viable in path following and collision avoidance for autonomous vehicles in extreme obstacle configurations.

FRONTIERS IN ROBOTICS AND AI (2021)

Add to Collection

Review Computer Science, Information Systems

A review on genetic algorithm: past, present, and future

Sourabh Katoch et al.

Summary: This paper discusses recent advances in genetic algorithms, analyzing selected algorithms of interest in the research community. It helps new and demanding researchers gain a broader understanding of genetic algorithms. The review covers well-known algorithms, genetic operators, research domains, and future research directions in genetic algorithms.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Novel meta-heuristic bald eagle search optimisation algorithm

H. A. Alsattar et al.

ARTIFICIAL INTELLIGENCE REVIEW (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Hybrid teaching-learning-based optimization and neural network algorithm for engineering design optimization problems

Yiying Zhang et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Sine-cosine crow search algorithm: theory and applications

Soheyl Khalilpourazari et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Add to Collection

Article Green & Sustainable Science & Technology

Artificial Intelligence in the Agri-Food System: Rethinking Sustainable Business Models in the COVID-19 Scenario

Assunta Di Vaio et al.

SUSTAINABILITY (2020)

Add to Collection

Article Chemistry, Analytical

A Two-Layer Controller for Lateral Path Tracking Control of Autonomous Vehicles

Zhiwei He et al.

SENSORS (2020)

Add to Collection

Proceedings Paper Automation & Control Systems

Implementation of PID Controller with PSO Tuning for Autonomous Vehicle

Ahmad Taher Azar et al.

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2019 (2020)

Add to Collection

Article Green & Sustainable Science & Technology

New design of adaptive model predictive control for energy conversion system with wind torque effect

M. Elsisi

JOURNAL OF CLEANER PRODUCTION (2019)

Add to Collection

Article Computer Science, Information Systems

Path Tracking Control for Autonomous Vehicles Based on an Improved MPC

Hengyang Wang et al.

IEEE ACCESS (2019)

Add to Collection

Article Automation & Control Systems

Three-Dimensional Path Following of an Underactuated AUV Based on Fuzzy Backstepping Sliding Mode Control

Xiao Liang et al.

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS (2018)

Add to Collection

Article Engineering, Electrical & Electronic

Longitudinal speed control of autonomous vehicle based on a self-adaptive PID of radial basis function neural network

Linzhen Nie et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2018)

Add to Collection

Article Engineering, Mechanical

Coordinated path-following and direct yaw-moment control of autonomous electric vehicles with sideslip angle estimation

Jinghua Guo et al.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)

Add to Collection

Article Automation & Control Systems

Output-Feedback Path-Following Control of Autonomous Underwater Vehicles Based on an Extended State Observer and Projection Neural Networks

Zhouhua Peng et al.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Experimental Comparisons of Metaheuristic Algorithms in Solving Combined Economic Emission Dispatch Problem Using Parametric and Non-Parametric Tests

Milena Jevtic et al.

APPLIED ARTIFICIAL INTELLIGENCE (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

A dynamic metaheuristic optimization model inspired by biological nervous systems: Neural network algorithm

Ali Sadollah et al.

APPLIED SOFT COMPUTING (2018)

Add to Collection

Proceedings Paper Computer Science, Hardware & Architecture

Autonomous Highway Car Following System Based on Fuzzy Control

Jiyao Chen et al.

PROCEEDINGS OF THE 2018 2ND HIGH PERFORMANCE COMPUTING AND CLUSTER TECHNOLOGIES CONFERENCE (HPCCT 2018) (2018)

Add to Collection

Article Automation & Control Systems

Inverse optimal self-tuning PID control design for an autonomous underwater vehicle

Raja Rout et al.

INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE (2017)

Add to Collection

Article Engineering, Marine

Nonlinear guidance and fuzzy control for three-dimensional path following of an underactuated autonomous underwater vehicle

Caoyang Yu et al.

OCEAN ENGINEERING (2017)

Add to Collection

Article Automation & Control Systems

Development of a Genetic-Algorithm-Based Nonlinear Model Predictive Control Scheme on Velocity and Steering of Autonomous Vehicles

Xinxin Du et al.

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)

Add to Collection

Proceedings Paper Computer Science, Artificial Intelligence

Research on Bus Roll Stability Control Based on LQR

Wang Rui et al.

2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS) (2016)

Add to Collection

Article Engineering, Electrical & Electronic

A new intelligent online fuzzy tuning approach for multi-area load frequency control: Self Adaptive Modified Bat Algorithm

Mohammad Hassan Khooban et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)

Add to Collection

Article Automation & Control Systems

Robust Weighted Gain-Scheduling H∞ Vehicle Lateral Motion Control With Considerations of Steering System Backlash-Type Hysteresis

Xiaoyu Huang et al.

IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Multi-level thresholding using quantum inspired meta-heuristics

Sandip Dey et al.

KNOWLEDGE-BASED SYSTEMS (2014)

Add to Collection

Article Computer Science, Information Systems

Black hole: A new heuristic optimization approach for data clustering

Abdolreza Hatamlou

INFORMATION SCIENCES (2013)

Add to Collection

Article Computer Science, Artificial Intelligence

Chaos particle swarm optimization and T-S fuzzy modeling approaches to constrained predictive control

Huimin Jiang et al.

EXPERT SYSTEMS WITH APPLICATIONS (2012)

Add to Collection

Article Engineering, Electrical & Electronic

Intelligent Frequency Control in an AC Microgrid: Online PSO-Based Fuzzy Tuning Approach

H. Bevrani et al.

IEEE TRANSACTIONS ON SMART GRID (2012)

Add to Collection

Article Computer Science, Artificial Intelligence

An adaptive neuro-fuzzy sliding mode based genetic algorithm control system for under water remotely operated vehicle

J. Javadi-Moghaddam et al.

EXPERT SYSTEMS WITH APPLICATIONS (2010)

Add to Collection

Article Computer Science, Artificial Intelligence

A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization

Salvador Garcia et al.

JOURNAL OF HEURISTICS (2009)

Add to Collection

Article Computer Science, Artificial Intelligence

Hybrid coevolutionary programming for Nash equilibrium search in games with local optima

YS Son et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2004)

Add to Collection

© Peeref 2019-2024. All rights reserved.