Results 71 to 80 of about 13,304 (184)

Approach of economic‐emission load dispatch using Ant Lion Optimizer [PDF]

, 2018
To solve the problem of the economic emission load dispatch (EELD) is necessary minimize the total cost of fuel consumption and carbon emission. In this study is applied the ant lion optimizer (ALO) to this problem.
Carvajal, T. L. (Tirso), Freitas, C. A. (Carlos), Júnior, J. D. (Jorge), Leite, J. C. (Jandecy), Nascimento, M. H. (Manoel)   +4 more
core  

An alternative method to solve combined economic emission dispatch problems using flower pollination algorithm [PDF]

, 2016
Flower Pollination Algorithm (FPA) is a new biologically inspired meta-heuristic optimization technique based the pollination process of flowers. FPA mimics the flower pollination characteristics in order to survival by the fittest.
Hong, Mee Song
core  

Modified Grey Wolf Optimizer with Parasitism Phase

Havacılık ve Uzay Teknolojileri Dergisi, 2021
Grey Wolf Optimizer (GWO) is a popular and effective nature-inspired, swarm intelligence based metaheuristic optimization algorithm which imitates the hunting process of a wolf pack in the nature.
Ali Nadi ÜNAL, Funda SEÇKİN
doaj  

A Random Opposition-Based Learning Grey Wolf Optimizer

IEEE Access, 2019
Grey wolf optimizer (GWO) algorithm is a swarm intelligence optimization technique that is recently developed to mimic the hunting behavior and leadership hierarchy of grey wolves in nature.
Wen Long, Jianjun Jiao, Ximing Liang, Shaohong Cai, Ming Xu   +4 more
doaj   +1 more source

LTE NETWORKS BTS LOCATION OPTIMATION WITH MODIFIED GREY WOLF OPTIMIZER [PDF]

, 2017
Base station is the main network element in cellular networks deployment include LTE that nowadays widely used for data communication (e.g. internet access).
MIRA KOMALA DEWI
core  

Many-Objective Grey Wolf Optimizer (MaOGWO) for solving real-world problems

Results in Engineering
The Grey Wolf Optimizer (GWO) is an effective optimization algorithm that primarily focuses on single objective optimization and is characterized by its simplicity and fast convergence.
Kanak Kalita, Pradeep Jangir, Lenka Čepová, Shankar Chakraborty, Sundaram B. Pandya, Arpita   +5 more
doaj   +1 more source

Optimization of Thermal Efficiency and Unburned Carbon in Fly Ash of Coal-Fired Utility Boiler via Grey Wolf Optimizer Algorithm

IEEE Access, 2019
This paper focuses on improving thermal efficiency and reducing unburned carbon in fly ash by optimizing operating parameters via a novel high-efficient swarm intelligence optimization algorithm (grey wolf optimizer algorithm, GWO) for coal-fired boiler.
Yiding Zhao, Qinghe Wu, Heng Li, Shuhua Ma, Ping He, Jun Zhao, Yangmin Li   +6 more
doaj   +1 more source

A Novel Power Curve Modeling Framework for Wind Turbines

Advances in Electrical and Computer Engineering, 2019
This paper presents two main novelties concerning power curve modeling of wind turbines. First novelty lies in the hybridization of 5 widely-used parametric functions and 8 recently-developed metaheuristic optimization algorithms.
YESILBUDAK, M.
doaj   +1 more source

Optimizing Agricultural Management Practices for Maize Crops: Integrating Clusterwise Linear Regression with an Adaptation of the Grey Wolf Optimizer

Agriculture
Effectively managing agricultural practices is crucial for maximizing yield, reducing investment costs, preserving soil health, ensuring sustainability, and mitigating environmental impact.
Germán-Homero Morán-Figueroa, Carlos-Alberto Cobos-Lozada, Oscar-Fernando Bedoya-Leyva   +2 more
doaj   +1 more source

МОДИФІКАЦІЯ АЛГОРИТМУ ВОВЧОЇ ЗГРАЇ ДЛЯ ЗАДАЧІ ДИНАМІЧНОГО РОЗПОДІЛУ НАВАНТАЖЕННЯ [PDF]

, 2018
Проведено аналіз існуючі модифікації алгоритму вовчої зграї. Розроблено алгоритм вовчої зграї та модифікований алгоритм вовчої зграї для знаходження ефективного розв’язку задачі динамітного розподілу навантаження для замкнутої енергетичної системи, що ...
Бабич, С. О.
core   +1 more source