A new modified artificial bee colony algorithm for the economic dispatch problem
DC Secui - Energy Conversion and Management, 2015 - Elsevier
In this paper a new modified artificial bee colony algorithm (MABC) is proposed to solve the
economic dispatch problem by taking into account the valve-point effects, the emission …
economic dispatch problem by taking into account the valve-point effects, the emission …
An improved particle swarm optimization with biogeography‐based learning strategy for economic dispatch problems
Economic dispatch (ED) plays an important role in power system operation, since it can
decrease the operating cost, save energy resources, and reduce environmental load. This …
decrease the operating cost, save energy resources, and reduce environmental load. This …
Woodpecker mating algorithm for optimal economic load dispatch in a power system with conventional generators
M Karimzadeh Parizi, F Keynia… - International Journal of …, 2021 - ieco.usb.ac.ir
The Economic Dispatch (ED) is one of the most important optimization problems in power
systems the ultimate goal of the ED is to minimize the cost of operations in a power …
systems the ultimate goal of the ED is to minimize the cost of operations in a power …
Ramp rate handling strategies in dynamic economic load dispatch (DELD) problem using grey wolf optimizer (GWO)
This article presents multiple strategies to handle ramp rate in dynamic economic load
dispatch (DELD) problem. DELD is a power system optimization problem that tackles the …
dispatch (DELD) problem. DELD is a power system optimization problem that tackles the …
Sequential meta-heuristic approach for solving large-scale ready-mixed concrete–dispatching problems
M Maghrebi, S Travis Waller… - Journal of Computing in …, 2016 - ascelibrary.org
Finding a practical solution for the allocation of resources in ready-mixed concrete (RMC) is
a challenging issue. In the literature, heuristic methods have been mostly used for solving …
a challenging issue. In the literature, heuristic methods have been mostly used for solving …
Customized Imperialist Competitive Algorithm Methodology to Optimize Robust Miller CMOS OTAs
The design and optimization of the analog complementary metal-oxide-semiconductor
(CMOS) integrated circuits (ICs) are intrinsically complicated and depend heavily on the …
(CMOS) integrated circuits (ICs) are intrinsically complicated and depend heavily on the …
The exchange market algorithm with smart searching for solving economic dispatch problems
N Ghorbani, E Babaei - International Journal of Management …, 2018 - Taylor & Francis
This paper introduces the exchange market algorithm with smart searching (EMA-SS) for
solving optimization problems in which a penalty factor has been embedded. The EMA-SS is …
solving optimization problems in which a penalty factor has been embedded. The EMA-SS is …
Non-convex constrained economic dispatch with valve point loading effect using a grey wolf optimizer algorithm
M Moradi, A Badri, R Ghandehari - 2016 6th Conference on …, 2016 - ieeexplore.ieee.org
Economic dispatch (ED) is an optimization tool that is used to allocate active load demands
to the generating units through optimizing cost functions subject to the non-linear and non …
to the generating units through optimizing cost functions subject to the non-linear and non …
Particle swarm optimization solution for power system operation problems
M Kheshti, L Ding - Particle Swarm Optimization with Applications, 2018 - books.google.com
Application of particle swarm optimization (PSO) algorithm on power system operation is
studied in this chapter. Relay protection coordination in distribution networks and economic …
studied in this chapter. Relay protection coordination in distribution networks and economic …
Socio-inspired evolutionary algorithms: a unified framework and survey
L Sharma, VL Chellapilla, P Chellapilla - Soft Computing, 2023 - Springer
It is well recognized that human societies and their problem-solving capabilities have
evolved much faster than biological evolution. The inspiration from human behaviors …
evolved much faster than biological evolution. The inspiration from human behaviors …