Multi scenario chaotic transient search optimization algorithm for global optimization technique

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 4, 2025

Recently, chaotic maps (CMs) have been employed in many optimization algorithms as a motivator to find better solution non-convex engineering problems since they can avoid local optima and the near-optimal rapidly. In this article, metaheuristic, physics-based algorithm called transient search (CTSO) is developed solve 23 benchmark functions, including uni- multi-modal functions. Nine CMs integrated into TSO improve its capabilities by applying various scenarios for improving random numbers. Further, proposed CTSO was compared with original using Wilcoxon p-value test, non-parametric sign t-test, convergence curves, elapsed time. Furthermore, has solving real-life design problems, coil spring, welded beam, pressure vessel design, where performed than some recent finding best design.

Язык: Английский

---

Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis

Complex & Intelligent Systems, Год журнала: 2025, Номер 11(3)

Опубликована: Фев. 19, 2025

Язык: Английский

---

Chaos-enhanced white shark optimization algorithms CWSO for global optimization

Alexandria Engineering Journal, Год журнала: 2025, Номер 122, С. 465 - 483

Опубликована: Март 18, 2025

Язык: Английский

---

Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models

Food Science & Nutrition, Год журнала: 2023, Номер 12(2), С. 786 - 803

Опубликована: Ноя. 9, 2023

The purity of the seeds is one important factors that increase yield. For this reason, classification maize cultivars constitutes a significant problem. Within scope study, six different models were designed to solve A special dataset was created be used in for study. contains total 14,469 images four classes. Images belong types, BT6470, CALIPOS, ES_ARMANDI, and HIVA, taken from BIOTEK company. AlexNet ResNet50 architectures, with transfer learning method, image classification. In order improve success, LSTM (Directional Long Short-Term Memory) BiLSTM (Bi-directional algorithms architectures hybridized. As result classifications, highest success obtained ResNet50+BiLSTM model 98.10%.

Язык: Английский

---

Multi-strategy synthetized equilibrium optimizer and application

PeerJ Computer Science, Год журнала: 2024, Номер 10, С. e1760 - e1760

Опубликована: Янв. 12, 2024

Background Improvement on the updating equation of an algorithm is among most improving techniques. Due to lack search ability, high computational complexity and poor operability equilibrium optimizer (EO) in solving complex optimization problems, improved EO proposed this article, namely multi-strategy synthetized (MS-EO). Method Firstly, a simplified strategy adopted improve reduce complexity. Secondly, information sharing updates concentrations early iterative stage using dynamic tuning form (SS-EO) enhance exploration ability. Thirdly, migration golden section are used for particle construct Golden SS-EO (GS-EO) Finally, elite learning implemented worst late MS-EO strengthen exploitation The strategies embedded into balance between by giving full play their respective advantages. Result Finding Experimental results functions from CEC2013 CEC2017 test sets demonstrate that outperforms quite few state-of-the-art algorithms running speed operability. experimental feature selection several datasets show also provides more

Язык: Английский

---

A Review of Optimization Methods for Production and Injection Well Placement in Hydrocarbon Reservoirs

Heliyon, Год журнала: 2024, Номер unknown, С. e39232 - e39232

Опубликована: Окт. 1, 2024

Язык: Английский

---