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A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms
Distributed generation, with respect to its ability in utilizing the alternative resources of
energy, provides a promising future for power generation in electric networks. Distributed …
energy, provides a promising future for power generation in electric networks. Distributed …
Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review
Distributed generators (DGs) are a reliable solution to supply economic and reliable
electricity to customers. It is the last stage in delivery of electric power which can be defined …
electricity to customers. It is the last stage in delivery of electric power which can be defined …
Improved binary grey wolf optimizer and its application for feature selection
Abstract Grey Wolf Optimizer (GWO) is a new swarm intelligence algorithm mimicking the
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
behaviours of grey wolves. Its abilities include fast convergence, simplicity and easy …
A parallel compact cuckoo search algorithm for three-dimensional path planning
Abstract The three-dimensional (3D) path planning of unmanned robots focuses on avoiding
collisions with obstacles and finding an optimized path to the target location in a complex …
collisions with obstacles and finding an optimized path to the target location in a complex …
Cat swarm optimization
In this paper, we present a new algorithm of swarm intelligence, namely, Cat Swarm
Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of …
Optimization (CSO). CSO is generated by observing the behaviors of cats, and composed of …
Optimal distributed renewable generation planning: A review of different approaches
Distributed generation has gained a lot of attractions in the power sector due to its ability in
power loss reduction, increased reliability, low investment cost, and most significantly, to …
power loss reduction, increased reliability, low investment cost, and most significantly, to …
[PDF][PDF] Computational intelligence based on the behavior of cats
Optimization problems are very important in many fields. To the present, many optimization
algorithms based on computational intelligence have been proposed, such as the Genetic …
algorithms based on computational intelligence have been proposed, such as the Genetic …
[PDF][PDF] Enhanced artificial bee colony optimization
An enhanced Artificial Bee Colony (ABC) optimization algorithm, which is called the
Interactive Artificial Bee Colony (IABC) optimization, for numerical optimization problems, is …
Interactive Artificial Bee Colony (IABC) optimization, for numerical optimization problems, is …
Multiple ant colony optimization based on pearson correlation coefficient
H Zhu, X You, S Liu - Ieee Access, 2019 - ieeexplore.ieee.org
Ant Colony Optimization algorithms have been successfully applied to solve the Traveling
Salesman Problem (TSP). However, they still have a tendency to fall into local optima …
Salesman Problem (TSP). However, they still have a tendency to fall into local optima …
A survey on parallel ant colony optimization
Ant colony optimization (ACO) is a well-known swarm intelligence method, inspired in the
social behavior of ant colonies for solving optimization problems. When facing large and …
social behavior of ant colonies for solving optimization problems. When facing large and …