A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms

MP HA, PD Huy, VK Ramachandaramurthy - Renewable and Sustainable …, 2017 - Elsevier
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 …

Operation and planning of distribution networks with integration of renewable distributed generators considering uncertainties: A review

RHA Zubo, G Mokryani, HS Rajamani, J Aghaei… - … and Sustainable Energy …, 2017 - Elsevier
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 …

Improved binary grey wolf optimizer and its application for feature selection

P Hu, JS Pan, SC Chu - Knowledge-Based Systems, 2020 - Elsevier
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 …

A parallel compact cuckoo search algorithm for three-dimensional path planning

PC Song, JS Pan, SC Chu - Applied Soft Computing, 2020 - Elsevier
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 …

Cat swarm optimization

SC Chu, PW Tsai, JS Pan - Pacific Rim international conference on …, 2006 - Springer
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 …

Optimal distributed renewable generation planning: A review of different approaches

WS Tan, MY Hassan, MS Majid, HA Rahman - Renewable and Sustainable …, 2013 - Elsevier
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 …

[PDF][PDF] Computational intelligence based on the behavior of cats

SC Chu, PW Tsai - International Journal of Innovative …, 2007 - researchgate.net
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 …

[PDF][PDF] Enhanced artificial bee colony optimization

PW TSai, JS Pan, BY Liao, SC Chu - International Journal of …, 2009 - academia.edu
An enhanced Artificial Bee Colony (ABC) optimization algorithm, which is called the
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 …

A survey on parallel ant colony optimization

M Pedemonte, S Nesmachnow, H Cancela - Applied Soft Computing, 2011 - Elsevier
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 …