Boosted sooty tern optimization algorithm for global optimization and feature selection

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 119015 - 119015

Published: Oct. 17, 2022

Language: Английский

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Efficient Feature Selection Using Weighted Superposition Attraction Optimization Algorithm

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(5), P. 3223 - 3223

Published: March 2, 2023

As the volume of data generated by information systems continues to increase, machine learning (ML) techniques have become essential for extraction meaningful insights. However, sheer often causes these sluggish. To overcome this, feature selection is a vital step in pre-processing data. In this paper, we introduce novel K-nearest neighborhood (KNN)-based wrapper system that leverages iterative improvement ability weighted superposition attraction (WSA). We evaluate performance WSA against seven well-known metaheuristic algorithms, i.e., differential evolution (DE), genetic algorithm (GA), particle swarm optimization (PSO), flower pollination (FPA), symbiotic organisms search (SOS), marine predators’ (MPA) and manta ray foraging (MRFO). Our extensive numerical experiments demonstrate highly effective selection, achieving decrease up 99% number features large datasets without sacrificing classification accuracy. fact, WSA-KNN outperforms traditional ML methods about 18% ensemble algorithms 9%. Moreover, achieves comparable or slightly better solutions when compared with neural networks hybridized metaheuristics. These findings highlight importance potential modern-day processing systems.

Language: Английский

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Parameter extraction of photovoltaic model based on butterfly optimization algorithm with chaos learning strategy

Solar Energy, Journal Year: 2024, Volume and Issue: 269, P. 112353 - 112353

Published: Jan. 20, 2024

Language: Английский

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An Investigation on Hybrid Particle Swarm Optimization Algorithms for Parameter Optimization of PV Cells

Electronics, Journal Year: 2022, Volume and Issue: 11(6), P. 909 - 909

Published: March 15, 2022

The demands for renewable energy generation are progressively expanding because of environmental safety concerns. Renewable is power generated from sources that constantly replenished. Solar an important source and clean initiative. Photovoltaic (PV) cells or modules employed to harvest solar energy, but the accurate modeling PV confounded by nonlinearity, presence huge obscure model parameters, nonattendance a novel strategy. efficient parameter estimation becoming more significant scientific community. Metaheuristic algorithms successfully applied valuation systems. Particle swarm optimization (PSO) metaheuristic algorithm inspired animal behavior. PSO derivative methods tackle different issues. Hybrid were developed improve performance basic ones. This review presents comprehensive investigation hybrid assessment cells. paper how much work conducted in this field, can additionally be performed strategy create ideal arrangements issue. Algorithms compared on basis used objective function, type diode model, irradiation conditions, types panels. More importantly, qualitative analysis computational time, complexity, convergence rate, search technique, merits, demerits.

Language: Английский

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Multi-objective dynamic economic emission dispatch integration with renewable energy sources and plug-in electrical vehicle using equilibrium optimizer

Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(4), P. 8555 - 8586

Published: March 1, 2023

Language: Английский

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A comprehensive survey on the chicken swarm optimization algorithm and its applications: state-of-the-art and research challenges

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(7)

Published: June 11, 2024

Abstract The application of optimization theory and the algorithms that are generated from it has increased along with science technology's continued advancement. Numerous issues in daily life can be categorized as combinatorial issues. Swarm intelligence have been successful machine learning, process control, engineering prediction throughout years shown to efficient handling An intelligent system called chicken swarm algorithm (CSO) mimics organic behavior flocks chickens. In benchmark problem's objective function, outperforms several popular methods like PSO. concept advancement flock algorithm, comparison other meta-heuristic algorithms, development trend reviewed order further enhance search performance quicken research algorithm. fundamental model is first described, enhanced based on parameters, chaos quantum optimization, learning strategy, population diversity then summarized using both domestic international literature. use group areas feature extraction, image processing, robotic engineering, wireless sensor networks, power. Second, evaluated terms benefits, drawbacks, algorithms. Finally, direction anticipated.

Language: Английский

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Conducting Polymer Nanocomposite for Energy Storage and Energy Harvesting Systems

Advances in Materials Science and Engineering, Journal Year: 2022, Volume and Issue: 2022, P. 1 - 23

Published: Aug. 24, 2022

Conducting polymers (CPs) have received a lot of attention because their unique advantages over popular materials, such as universal and tunable electrical conductivity, simple invention approach, high mechanical strength, low weight, price, ease processing. Polymer nanocomposites been enthusiastically explored superlative energy generators for low-power-consuming electronic strategies confirmed progressive surface area, amazing electrochemical behaviour through expanding the opportunity utilization. The hybridization conducting polymer with inorganic hybrid organic nanomaterials also resulted in multifunctional better capabilities variety devices, including sensors, storage, harvesting, defensive devices. capability assistance modern advancements development nanomaterials/nanocomposites presented, well approaches producing nanostructured CPs. mechanisms underlying ways modifying properties, are investigated. ongoing research towards generating superior CP-based is discussed. This assessment focuses on important schemes involved scientific industrial use polymeric materials intended scheme manufacture solar cells, rechargeable batteries, supercapacitors, waiting problems prospects.

Language: Английский

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Efficient estimation of PV parameters for existing datasets by using an intelligent algorithm

Optik, Journal Year: 2023, Volume and Issue: 295, P. 171467 - 171467

Published: Oct. 18, 2023

Language: Английский

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Equilibrium optimizer for multi-objective dynamic economic emission dispatch integration with plug-in electric vehicles and renewable sources

Multiscale and Multidisciplinary Modeling Experiments and Design, Journal Year: 2024, Volume and Issue: 7(3), P. 2683 - 2699

Published: Feb. 5, 2024

Language: Английский

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Hybrid Optimization Algorithm for Solving Attack-Response Optimization and Engineering Design Problems

Algorithms, Journal Year: 2025, Volume and Issue: 18(3), P. 160 - 160

Published: March 10, 2025

This paper presents JADEDO, a hybrid optimization method that merges the dandelion optimizer’s (DO) dispersal-inspired stages with JADE’s (adaptive differential evolution) dynamic mutation and crossover operators. By integrating these complementary mechanisms, JADEDO effectively balances global exploration local exploitation for both unimodal multimodal search spaces. Extensive benchmarking against classical cutting-edge metaheuristics on IEEE CEC2022 functions—encompassing unimodal, multimodal, landscapes—demonstrates achieves highly competitive results in terms of solution accuracy, convergence speed, robustness. Statistical analysis using Wilcoxon sum-rank tests further underscores JADEDO’s consistent advantage over several established optimizers, reflecting its proficiency navigating complex, high-dimensional problems. To validate real-world applicability, was also evaluated three engineering design problems (pressure vessel, spring, speed reducer). Notably, it achieved top-tier or near-optimal designs constrained, high-stakes environments. Moreover, to demonstrate suitability security-oriented tasks, applied an attack-response scenario, efficiently identifying cost-effective, low-risk countermeasures under stringent time constraints. These collective findings highlight as robust, flexible, high-performing framework capable tackling benchmark-oriented practical challenges.

Language: Английский

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