Opposition based learning: A literature review
Opposition-based Learning (OBL) is a new concept in machine learning, inspired from the
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
opposite relationship among entities. In 2005, for the first time the concept of opposition was …
A comprehensive survey on gravitational search algorithm
Abstract Gravitational Search Algorithm (GSA) is an optimization method inspired by the
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …
theory of Newtonian gravity in physics. Till now, many variants of GSA have been …
Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems
AA Heidari, RA Abbaspour, AR Jordehi - Applied soft computing, 2017 - Elsevier
Water cycle algorithm (WCA) is one of the efficient metaheuristic optimization algorithms
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …
inspired by hydrological cycle in nature. WCA can outperform several robust and efficient …
Solution to optimal reactive power dispatch in transmission system using meta-heuristic techniques―Status and technological review
A bstract Power system operation with proper planning is an utmost task for enhancing the
economy of the country. The Optimal Reactive Power Dispatch (ORPD) plays an important …
economy of the country. The Optimal Reactive Power Dispatch (ORPD) plays an important …
A novel fuzzy adaptive configuration of particle swarm optimization to solve large-scale optimal reactive power dispatch
Management and scheduling of reactive power resources is one of the important and
prominent problems in power system operation and control. It deals with stable and secure …
prominent problems in power system operation and control. It deals with stable and secure …
Particle swarm optimization-based clustering by preventing residual nodes in wireless sensor networks
J Re**aParvin, C Vasanthanayaki - IEEE sensors journal, 2015 - ieeexplore.ieee.org
Particle swarm optimization (PSO)-based effective clustering in wireless sensor networks is
proposed. In the existing optimized energy efficient routing protocol (OEERP), during cluster …
proposed. In the existing optimized energy efficient routing protocol (OEERP), during cluster …
A multi-objective probabilistic approach for smart voltage control in wind-energy integrated networks considering correlated parameters
Renewable and sustainable energies such as wind power generation are increasingly
integrated into electric grids due to their various technical, environmental, and economic …
integrated into electric grids due to their various technical, environmental, and economic …
An overview of Gravitational Search Algorithm utilization in optimization problems
Gravitational Search Algorithm (GSA) is one of the recent nature inspired algorithms which is
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …
capable to solve optimization problems. GSA is inspired by the Newtonian's law of gravity …
A bi-level techno-economic optimal reactive power dispatch considering wind and solar power integration
With urban and rural infrastructure development, the power system is being forced to
operate at or near its full capacity. This paper proposes four new methodologies to find the …
operate at or near its full capacity. This paper proposes four new methodologies to find the …
Solving optimal reactive power dispatch problem using a novel teaching–learning-based optimization algorithm
M Ghasemi, M Taghizadeh, S Ghavidel… - … Applications of Artificial …, 2015 - Elsevier
The paper presents a novel teaching–learning-based optimization (TLBO) algorithm, the
Gaussian bare-bones TLBO (GBTLBO) algorithm, with its modified version (MGBTLBO) for …
Gaussian bare-bones TLBO (GBTLBO) algorithm, with its modified version (MGBTLBO) for …