Results 61 to 70 of about 45,948 (211)
Applied Sciences, 2021 Metaheuristic algorithms have been widely used to solve diverse kinds of optimization problems. For an optimization problem, population initialization plays a significant role in metaheuristic algorithms. These algorithms can influence the convergence to
Waqas Haider Bangyal +5 more
doaj +1 more source
An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis [PDF]
, 2019 open access articleThis article presents a novel hybrid classification paradigm for medical diagnoses and prognoses prediction. The core mechanism of the proposed method relies on a centroid classification algorithm whose logic is exploited to formulate ...
Caraffini, Fabio +2 more
core +1 more source
Feasibility Study and Optimal Placement of Solar Power Plants Using Binary Genetic Algorithm
Energy Science &Engineering, EarlyView.This study introduces an integrated optimization framework using a binary genetic algorithm (BGA) for optimal siting and sizing of two solar plants (865 and 739 kWp) in Karaj, Iran. The BGA outperformed conventional methods, achieving a 24.3% reduction in power losses and enhanced voltage stability.
Mehrab Shahbazi, Reza Eslami
wiley +1 more source
Sensors, 2022 Metaheuristic algorithms are effectively used in searching some optical solution space. for optical solution. It is basically the type of local search generalization that can provide useful solutions for issues related to optimization.
Waqar Younas +6 more
doaj +1 more source
Energy Science &Engineering, EarlyView.Overview of the under‐study hub energy model showing the energy conversion and distribution among integrated sources and loads. ABSTRACT In this paper, a probabilistic bi‐objective energy management system (EMS) model is proposed for an energy hub (EH) equipped with renewable energy sources such as photovoltaic and wind turbine connected to the main ...
Mohammad Khoshabi +3 more
wiley +1 more source
MathematicsThe primary objective of introducing metaheuristic algorithms into traditional systematic logic is to minimize the cost function. However, there is a lack of research on the impact of introducing metaheuristic algorithms on the cost function under ...
Ju Chen +7 more
doaj +1 more source
Analytical versus Metaheuristic Methods to Extract the Photovoltaic Cells and Panel Parameters
International Journal of Photoenergy, 2021 The parameters of the photovoltaic cells and panels are very important to forecast the power generated. There are a lot of methods to extract the parameters using analytical, metaheuristic, and hybrid algorithms.
Daniel T. Cotfas +3 more
doaj +1 more source
The Vehicle Routing Problem with Service Level Constraints
, 2017 We consider a vehicle routing problem which seeks to minimize cost subject to service level constraints on several groups of deliveries. This problem captures some essential challenges faced by a logistics provider which operates transportation services ...
Bulhões, Teobaldo +3 more
core +1 more source
Energy Science &Engineering, EarlyView.A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan +4 more
wiley +1 more source
Recent Advances in Metaheuristic Algorithms
AlgorithmsThis paper presents a review of recent advancements in metaheuristic algorithms, emphasizing their broad applicability across research domains and the performance improvements achieved through their derived variants.
Tomislav Ivanovski +2 more
doaj +1 more source