Zobrazeno 1 - 10
of 31
pro vyhledávání: '"A. T. Salawudeen"'
Publikováno v:
Arid Zone Journal of Engineering, Technology and Environment, Vol 14, Iss 3, Pp 491-496 (2018)
This research is aimed at developing a cultural-algorithm based artificial bee colony algorithm (CABCA) for improved Proportional Integral Derivative (PID) controller parameters tuning. The normative and situational knowledge inherent in cultural alg
Externí odkaz:
https://doaj.org/article/efc6fe3c15ff4cde91e555f8358b5f48
Publikováno v:
IEEE Access, Vol 12, Pp 42544-42571 (2024)
whiteThis paper presents a whitenovel Nested Identical Control (NIC) whitemethod for load frequency control of multi-area microgrid systems employing two novel variants of the Chameleon Swarm Algorithm (CSA). Load frequency control, a common strategy
Externí odkaz:
https://doaj.org/article/ae10083caeef4d1d9e7bd187c4fb0cff
Autor:
Ibrahim Olawale Muritala, Muhammed B. Mu'azu, Ahmed T. Salawudeen, Imeh J. Umoh, Habeeb Bello-Salau, Zaharuddeen Haruna, Salisu Mohammed
Publikováno v:
Franklin Open, Vol 6, Iss , Pp 100070- (2024)
Analyzing the impact of measurement noise on space vehicle dynamics is vital for understanding its implications in proximity missions. Despite researcher's focus on addressing position and velocity challenges during cooperative operations, few studie
Externí odkaz:
https://doaj.org/article/26ae66ddcd974e498569bf7faad81bf9
Publikováno v:
Franklin Open, Vol 4, Iss , Pp 100035- (2023)
Non-Strict Feedback (NSF) physical systems are broader than Strict-Feedback (SF) systems. The system state variables depend on their system functions, unlike SF systems that the system variables do not depend on their system function. Consequently, N
Externí odkaz:
https://doaj.org/article/60e5ab59f0434f7abc309d4e08274106
Autor:
Abdullahi T. Sulaiman, Habeeb Bello-Salau, Adeiza J. Onumanyi, Muhammed B. Mu’azu, Emmanuel A. Adedokun, Ahmed T. Salawudeen, Abdulfatai D. Adekale
Publikováno v:
Algorithms, Vol 17, Iss 2, p 53 (2024)
The particle swarm optimization (PSO) algorithm is widely used for optimization purposes across various domains, such as in precision agriculture, vehicular ad hoc networks, path planning, and for the assessment of mathematical test functions towards
Externí odkaz:
https://doaj.org/article/924a742b6b464b2fad2fed41833373a5
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0286695 (2023)
This paper presents a hybrid Smell Agent Symbiosis Organism Search Algorithm (SASOS) for optimal control of autonomous microgrids. In microgrid operation, a single optimization algorithm often lacks the required balance between accuracy and speed to
Externí odkaz:
https://doaj.org/article/4077dd47af624507b62b3efc1040a8a9
Publikováno v:
Scientific African, Vol 16, Iss , Pp e01174- (2022)
This paper presents Fuzzy Time Series (FTS) forecasting technique using Hidden Markov Model (HMM) optimized by Particle Swarm Optimization (PSO) and Genetic algorithm (GA). One of the major limitations of HMM is the lack of efficient method for HMM p
Externí odkaz:
https://doaj.org/article/f3a77cb29126431dbd9b569e69b05b7a
This paper presents the design of a genetic algorithm (GA) based full order state observer for a compressor system. The observer measures the compressor system parameters and computes the difference between the measured output and the setpoint, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::835bb5f5b0b5d2d6ae31636a778d8726
https://zenodo.org/record/6388960
https://zenodo.org/record/6388960
Publikováno v:
Yanbu Journal of Engineering and Science. 13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b317e459e74428179896e956946c4c89
https://doi.org/10.53370/001c.24324
https://doi.org/10.53370/001c.24324
Autor:
Abdullahi Abdu Ibrahim, A. T. Salawudeen, Mayo T. Zion, Izuagbe S. Momoh, Emmanuel K. Akut, Shehu Mohammed Yusuf
Publikováno v:
IJEEC - INTERNATIONAL JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTING. 4
This paper presents an optimized solution to locate a depot on multiobjective instances of Capacitated Vehicle Pouting Problem (CVRP) using firefly algorithm (FA). The main objective of a depot location routing problem (LRP) is to obtain the optimal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b59e0908883bcbe27bb46b0e5a1673e
https://doi.org/10.7251/ijeec2002121t
https://doi.org/10.7251/ijeec2002121t