Swarm and Evolutionary Computation, Journal Year: 2025, Volume and Issue: 95, P. 101908 - 101908
Published: March 18, 2025
Language: Английский
Archives of Computational Methods in Engineering, Journal Year: 2023, Volume and Issue: 30(7), P. 4113 - 4159
Published: May 27, 2023
Language: Английский
Citations
121
Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 295, P. 111737 - 111737
Published: April 12, 2024
This study proposes a novel artificial protozoa optimizer (APO) that is inspired by in nature. The APO mimics the survival mechanisms of simulating their foraging, dormancy, and reproductive behaviors. was mathematically modeled implemented to perform optimization processes metaheuristic algorithms. performance verified via experimental simulations compared with 32 state-of-the-art Wilcoxon signed-rank test performed for pairwise comparisons proposed algorithms, Friedman used multiple comparisons. First, tested using 12 functions 2022 IEEE Congress on Evolutionary Computation benchmark. Considering practicality, solve five popular engineering design problems continuous space constraints. Moreover, applied multilevel image segmentation task discrete experiments confirmed could provide highly competitive results problems. source codes Artificial Protozoa Optimizer are publicly available at https://seyedalimirjalili.com/projects https://ww2.mathworks.cn/matlabcentral/fileexchange/162656-artificial-protozoa-optimizer.
Language: Английский
Citations
44
Symmetry, Journal Year: 2023, Volume and Issue: 15(1), P. 124 - 124
Published: Jan. 1, 2023
In an era where people in the world are concerned about environmental issues, companies must reduce distribution costs while minimizing pollution generated during process. For today’s multi-depot problem, a mixed-integer programming model is proposed this paper to minimize all incurred entire transportation process, considering impact of time-varying speed, loading, and waiting time on costs. Time directional; hence, problems considered study modeled based asymmetry, making problem-solving more complex. This proposes genetic algorithm combined with simulated annealing solve issue, inner outer layers solving for optimal path planning respectively. The mutation operator replaced layer by neighbor search approach using solution acceptance mechanism similar avoid local optimum solution. extends problem (vehicle-routing problem) provides alternative networks.
Language: Английский
Citations
24
Advanced Engineering Informatics, Journal Year: 2024, Volume and Issue: 60, P. 102362 - 102362
Published: Jan. 25, 2024
Language: Английский
Citations
12
Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 292, P. 111616 - 111616
Published: March 7, 2024
Language: Английский
Citations
12
Systems Science & Control Engineering, Journal Year: 2024, Volume and Issue: 12(1)
Published: Aug. 1, 2024
Bald Eagle Search (BES) is a recent and highly successful swarm-based metaheuristic algorithm inspired by the hunting strategy of bald eagles in capturing prey. With its remarkable ability to balance global local searches during optimization, BES effectively addresses various optimization challenges across diverse domains, yielding nearly optimal results. This paper offers comprehensive review research on BES. Beginning with an introduction BES's natural inspiration conceptual framework, it explores modifications, hybridizations, applications domains. Then, critical evaluation performance provided, offering update effectiveness compared recently published algorithms. Furthermore, presents meta-analysis developments outlines potential future directions. As swarm-inspired algorithms become increasingly important tackling complex problems, this study valuable resource for researchers aiming understand algorithms, mainly focusing comprehensively. It investigates evolution, exploring solving intricate fields.
Language: Английский
Citations
12
Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(6)
Published: May 9, 2024
Abstract The Fermatean Fuzzy Set (FFS) theory emerges as a crucial and prevalent tool in addressing uncertainty across diverse domains. Despite its recognized utility managing ambiguous information, recent research lacks comprehensive analysis of key FFS areas, applications, gaps, outcomes. This study, conducted through the Scientific Procedures Rationales for Systematic Literature Reviews (SPAR-4-SLR) protocol, delves into an exploration literature, reviewing 135 relevant articles. documents are meticulously analyzed based on their integrated methodologies, Aggregation Operators (AOs), linguistic sets, extensions. Additionally, thematic analysis, facilitated by Bibliometrix tool, is presented to provide nuanced insights future directions areas within literature. study unveils valuable findings, including integration variables with interval-valued FFS, fostering robust environments dynamic decision-making—a mere glimpse potential research. gaps section further articulates recommendations, offering structured foundation researchers enhance understanding chart studies confidently.
Language: Английский
Citations
10
The Journal of Supercomputing, Journal Year: 2025, Volume and Issue: 81(4)
Published: Feb. 17, 2025
Language: Английский
Citations
1
Sensors, Journal Year: 2023, Volume and Issue: 23(14), P. 6282 - 6282
Published: July 10, 2023
Indoor localization has broad application prospects, but accurately obtaining the location of test points (TPs) in narrow indoor spaces is a challenge. The weighted K-nearest neighbor algorithm (WKNN) powerful that can improve accuracy TPs. In recent years, with rapid development metaheuristic algorithms, it shown efficiency solving complex optimization problems. main research purpose this article to study how use algorithms positioning and verify effectiveness heuristic positioning. This paper presents new called compact snake (cSO). novel introduces strategy (SO) algorithm, which ensures optimal performance situations limited computing memory resources. cSO evaluated on 28 functions CEC2013 compared several intelligent algorithms. results demonstrate outperforms these Furthermore, we combine WKNN fingerprint RSSI simulation experiments effectively reduce errors.
Language: Английский
Citations
20
International Journal of Communication Systems, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 7, 2024
ABSTRACT In vehicular ad hoc networks (VANETs), the challenge of broadcast storms during data transmission arises due to an exponential increase in message rebroadcasts. This problem is exacerbated by high‐speed node movements, frequent topology changes, and repetitive discontinuities within these networks, hindering development efficient broadcasting protocols. Addressing this gap, our study introduces a pioneering approach utilizing novel fuzzy method based on multicriteria decision‐making (MCDM) prioritize vehicles selecting optimal neighbors for broadcast. The aim work propose VANETs MCDM‐based re‐broadcasting scheme (FMRBS). seeks eliminate raise distribution efficiency. We choose best transportation using logic. FMRBS system excelled many respects over UMB 802.11‐Distance. It decreased end‐to‐end latency overhead while increasing packet delivery ratio (PDR) network performance. By efficiently optimizing inside VANETs, lowers traffic congestion.
Language: Английский
Citations
7