Introduction to Algorithms

Elsevier eBooks, Journal Year: 2021, Volume and Issue: unknown, P. 1 - 22

Published: Jan. 1, 2021

Language: Английский

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Artificial Intelligence-Based Robust Hybrid Algorithm Design and Implementation for Real-Time Detection of Plant Diseases in Agricultural Environments

Biology, Journal Year: 2022, Volume and Issue: 11(12), P. 1732 - 1732

Published: Nov. 29, 2022

The early detection and prevention of plant diseases that are an important cause famine food insecurity worldwide very for increasing agricultural product productivity. Not only the disease but also determination its type play a critical role in determining appropriate treatment. fact visual inspection, which is frequently used types, tiring prone to human error, necessitated development algorithms can automatically classify with high accuracy low computational cost. In this study, new hybrid leaf classification model complexity, consisting wrapper approach, including flower pollination algorithm (FPA) support vector machine (SVM), convolutional neural network (CNN) classifier, developed wrapper-based feature selection approach using metaheuristic optimization techniques. features image dataset apple, grape, tomato plants have been extracted by two-dimensional discrete wavelet transform (2D-DWT) families such as biorthogonal, Coiflets, Daubechies, Fejer-Korovkin, symlets. Features keep classifier performance each family selected population-based metaheuristics FPA SVM. proposed compared particle swarm (PSO) algorithm. Afterwards, obtained lowest number CNN classifier. single layer without extraction minimize complexity deal hyperparameter problem. embedded NVIDIA Jetson Nano developer kit on unmanned aerial vehicle (UAV), real-time tests performed plants. experimental results show classifies specified real time accuracy. Moreover, it concluded robust model, created selecting precision.

Language: Английский

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An enhanced hybrid arithmetic optimization algorithm for engineering applications

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2022, Volume and Issue: 394, P. 114901 - 114901

Published: April 12, 2022

Language: Английский

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Improved bald eagle search algorithm for global optimization and feature selection

Alexandria Engineering Journal, Journal Year: 2023, Volume and Issue: 68, P. 141 - 180

Published: Jan. 18, 2023

The use of metaheuristics is one the most encouraging methodologies for taking care real-life problems. Bald eagle search (BES) algorithm latest swarm-intelligence metaheuristic inspired by intelligent hunting behavior bald eagles. In recent research works, BES has performed reasonably well over a wide range application areas such as chemical engineering, environmental science, physics and astronomy, structural modeling, global optimization, engineering design, energy efficiency, etc. However, it still lacks adequate searching efficiency tendency to stuck in local optima which affects final outcome. This paper introduces modified (mBES) that removes shortcomings original incorporating three improvements; Opposition-based learning (OBL), Chaotic Local Search (CLS), Transition & Pharsor operators. OBL embedded different phases standard viz. initial population, selecting, space, swooping update positions individual solutions strengthen exploration, CLS used enhance position best agent will lead enhancing all individuals, operators help provide sufficient exploration–exploitation trade-off. mBES initially evaluated with 29 CEC2017 10 CEC2020 optimization benchmark functions. addition, practicality tested real-world feature selection problem five design Results are compared against number classical algorithms using statistical metrics, convergence analysis, box plots, Wilcoxon rank sum test. case composite test functions F21-F30, wins 70% cases, whereas rest functions, generates good results 65% cases. proposed produces performance 55% 45% generated competitive results. On other hand, problems, among algorithms. problem, also showed competitiveness observations problems show superiority robustness baseline metaheuristics. It can be safely concluded improvements suggested proved effective making enough solve variety

Language: Английский

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Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Jan. 20, 2024

Language: Английский

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A comprehensive study on modern optimization techniques for engineering applications

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(8)

Published: July 4, 2024

Abstract Rapid industrialization has fueled the need for effective optimization solutions, which led to widespread use of meta-heuristic algorithms. Among repertoire over 600, 300 new methodologies have been developed in last ten years. This increase highlights a sophisticated grasp these novel methods. The biological and natural phenomena inform strategies seen paradigm shift recent observed trend indicates an increasing acknowledgement effectiveness bio-inspired tackling intricate engineering problems, providing solutions that exhibit rapid convergence rates unmatched fitness scores. study thoroughly examines latest advancements optimisation techniques. work investigates each method’s unique characteristics, properties, operational paradigms determine how revolutionary approaches could be problem-solving paradigms. Additionally, extensive comparative analyses against conventional benchmarks, such as metrics search history, trajectory plots, functions, are conducted elucidate superiority approaches. Our findings demonstrate potential optimizers provide directions future research refine expand upon intriguing methodologies. survey lighthouse, guiding scientists towards innovative rooted various mechanisms.

Language: Английский

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Dream Optimization Algorithm (DOA): A novel metaheuristic optimization algorithm inspired by human dreams and its applications to real-world engineering problems

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 436, P. 117718 - 117718

Published: Jan. 9, 2025

Language: Английский

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An enhanced approach to optimally place the solar powered electric vehicle charging station in distribution network

Journal of Energy Storage, Journal Year: 2021, Volume and Issue: 42, P. 103090 - 103090

Published: Aug. 20, 2021

Language: Английский

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Nature-inspired optimization algorithms: Challenges and open problems

Journal of Computational Science, Journal Year: 2020, Volume and Issue: 46, P. 101104 - 101104

Published: March 6, 2020

Language: Английский

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A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem

Applied Soft Computing, Journal Year: 2021, Volume and Issue: 105, P. 107282 - 107282

Published: March 18, 2021

Language: Английский

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