Results 71 to 80 of about 1,727,456 (275)
Energy Science &Engineering, EarlyView.Deployment of an aging‐based controller during designing of optimal lithium‐ion battery—supercapacitor (LB‐Sc) hybrid energy storage system (HESS) capacity, in off‐grid IREMGs, improves performance of the LB and reduces its aging rate. Also, annualised cost of the LB‐Sc HESS improves by 33.15% in relation to optimal LB SESS.
Isaac Gwayi +2 more
wiley +1 more source
Improved metaheuristic algorithms for metabolic network optimization [PDF]
, 2019 Metaheuristic algorithms have been used in various domains to solve the optimization problem. In metabolic engineering, the problem of identifying near-optimal reactions knockout that can optimize the production rate of desired metabolites are hindered ...
Zakaria, Z. +4 more
core +1 more source
Measurement macro F1-score of RVFL+ JS against other metaheuristic algorithms.
, 2021 Measurement macro F1-score of RVFL+ JS against other metaheuristic algorithms.
Sherif I. Barakat (11731509) +2 more
core +1 more source
Energy Science &Engineering, EarlyView.SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han +5 more
wiley +1 more source
Some nature-inspired metaheuristic algorithms with their source of inspiration (2019-2021).
, 2022 Some nature-inspired metaheuristic algorithms with their source of inspiration (2019-2021).
Olaide N. Oyelade (14047002) +4 more
core +1 more source
Metaheuristic Algorithms and Modern Credit Classification Methods: A Systematic Review
Istanbul Business Research, 2020 Number of proposed advanced analysis methods, which try to successfully predict if applicants are going to default in credit applications show an increasing pattern, especially after the Global Financial Crisis.
Hazar Altınbaş
doaj +1 more source
Metaheuristics for pharmacometrics
CPT: Pharmacometrics & Systems Pharmacology, 2021 Metaheuristics is a powerful optimization tool that is increasingly used across disciplines to tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a subclass of metaheuristic algorithms and have been shown to be ...
Seongho Kim +4 more
doaj +1 more source
Multiprotocol label switching network optimization by metaheuristic algorithms [PDF]
, 2020 From the network management approach, the term network efficiency signifies the effective utilization of network resources. The critical aspect of managing the Multi-Protocol Label Switch (MPLS) networks is to compute the best routes across the network ...
Masood, Mohsin
core +2 more sources
Energy Science &Engineering, EarlyView.A new maze puzzle pattern array (PPA) is presented to optimize shade allocation, alleviate the mismatch losses of PV (photovoltaic) arrays in partially shaded circumstances, and maximize output in partially shaded operation with zero extra sensors, switching components, and optimum searching schemes.
Alok Kumar Shrivastav +4 more
wiley +1 more source
Metaheuristic optimization algorithms: An overview
HCMCOU Journal of Science - Advances in Computational StructuresMetaheuristic optimization algorithms are versatile and adaptable tools that effectively solve various complex optimization problems. These algorithms are not restricted to specific types of problems or gradients.
Brahim Benaissa +4 more
doaj +1 more source