An Enhanced Team-Oriented Swarm Optimization Algorithm (ETOSO) for Robust and Efficient High-Dimensional Search

Biomimetics, Journal Year: 2025, Volume and Issue: 10(4), P. 222 - 222

Published: April 3, 2025

This paper introduces the Enhanced Team-Oriented Swarm Optimization (ETOSO) algorithm, a novel refinement of (TOSO) algorithm aimed at addressing stagnation problem commonly encountered in nature-inspired optimization approaches. ETOSO enhances TOSO by integrating innovative strategies for exploration and exploitation, resulting simplified that demonstrates superior performance across broad spectrum benchmark functions, particularly high-dimensional search spaces. A comprehensive comparative evaluation statistical tests against 26 established algorithms (NIOAs) 15 functions dimensions (D = 2, 5, 10, 30, 50, 100, 200) confirm ETOSO’s superiority relative to solution accuracy, convergence speed, computational complexity, consistency.

Language: Английский

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A hybrid Mountain Gazelle particle swarm-based algorithm for constrained optimization problems

Evolving Systems, Journal Year: 2025, Volume and Issue: 16(1)

Published: Feb. 1, 2025

Language: Английский

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Generalized Gene Selection for Microarray Classification Via Improved Crested Porcupine Optimizer

Published: Jan. 1, 2025

Language: Английский

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Flow Direction Algorithm: A Comprehensive Review

Archives of Computational Methods in Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Language: Английский

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Analyzing metaheuristic algorithms performance and the causes of the zero-bias problem: a different perspective in benchmarks

Evolutionary Intelligence, Journal Year: 2025, Volume and Issue: 18(2)

Published: Feb. 27, 2025

Language: Английский

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Gamification as an Innovative Approach for the Assessment of Procedural Knowledge

Electronics, Journal Year: 2025, Volume and Issue: 14(8), P. 1573 - 1573

Published: April 13, 2025

In the era of artificial intelligence (AI), generative AI tools like ChatGPT 4.5 have greatly improved ease obtaining answers to questions, thereby diminishing importance memorizing declarative knowledge while increasing significance procedural required in problem-solving process. However, conventional assessment approaches such as paper-based assessments still focus on assessing knowledge; these are difficult adapt challenges era. This study aims explore an innovative approach for knowledge, with a specific emphasis gamification. employs comprehensive involving experimental research method, case study, and questionnaire survey. A total 151 undergraduate students were recruited randomly assigned group control experiment. We compared performance outcomes between gamification-based assessment. The results confirmed effectiveness assessment, demonstrating its superiority over knowledge. findings paper not only applicable assess emergency situations fire safety but can also be applied across various academic subjects within educational institutions.

Language: Английский

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Robust form finding of tree-like structure by improved slime mould algorithm

Engineering Structures, Journal Year: 2025, Volume and Issue: 336, P. 120421 - 120421

Published: April 25, 2025

Language: Английский

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Modification of coot optimization algorithm (COA) with adaptive sigmoid increasing inertia weight for global optimization

Applied Computing and Intelligence, Journal Year: 2024, Volume and Issue: 4(1), P. 93 - 106

Published: Jan. 1, 2024

<p>In this paper, the classical coot optimization algorithm (COA) is modified to improve its overall performance in exploration phase by adding an adaptive sigmoid inertia weight-based method. The (mCOA) was successfully assessed using 13 standard benchmark test functions, which are frequently used evaluate metaheuristic algorithms. MATLAB software utilized conduct simulation tests, and outcome compared with of original COA, particle swarm optimization, genetic reported literature. findings showed that proposed outperformed other algorithms on ten (10) while it maintained a competitive remaining three functions. This indicates mCOA provides significant improvement thus making suitable for resolving problems diverse fields. As result, recommended adoption solve real-life engineering problems.</p>

Language: Английский

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A Differential Search Integrated Music Harmony Search Algorithm for Solving Bound Constrained Optimization Problems

Published: July 12, 2024

Language: Английский

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