Solution of an economic dispatch problem through particle swarm optimization: a detailed survey-part I

G Abbas, J Gu, U Farooq, MU Asad… - IEEE Access, 2017 - ieeexplore.ieee.org
A number of modern metaheuristic optimization techniques are being exploited to work out a
single-objective economic dispatch (ED) problem. The dispatch problems even become …

[HTML][HTML] Sunflower leaf diseases detection using image segmentation based on particle swarm optimization

V Singh - Artificial Intelligence in Agriculture, 2019 - Elsevier
Sun flower (Helianthus annuus L.) is one of the important oil seed crops and potentially fit in
agricultural system and oil production sector of India. Sunflower crop gets damaged by the …

[HTML][HTML] Optimal fuzzy based economic emission dispatch of combined heat and power units using dynamically controlled Whale Optimization Algorithm

VK Jadoun, GR Prashanth, SS Joshi, K Narayanan… - Applied Energy, 2022 - Elsevier
The significance and purpose of this multi-objective Combined Heat and Power Economic
Emission Dispatch (MO-CHPEED) problem aims to determine the optimal generator output …

A new global particle swarm optimization for the economic emission dispatch with or without transmission losses

D Zou, S Li, Z Li, X Kong - Energy Conversion and Management, 2017 - Elsevier
A new global particle swarm optimization (NGPSO) algorithm is proposed to solve the
economic emission dispatch (EED) problems in this paper. NGPSO is different from the …

Integration of renewable energy sources in dynamic economic load dispatch problem using an improved fireworks algorithm

VK Jadoun, VC Pandey, N Gupta… - IET renewable …, 2018 - Wiley Online Library
In electrical power system, economic load dispatch is a generic operation for optimal sharing
of generation units to meet the system load. With the rapid development of the renewable …

Economic dispatch using metaheuristics: Algorithms, problems, and solutions

T Visutarrom, TC Chiang - Applied Soft Computing, 2024 - Elsevier
Economic dispatch (ED) has received considerable interest in the field of energy
management and optimization. The problem aims to determine the most cost-effective power …

P&O-PI and fuzzy-PI MPPT Controllers and their time domain optimization using PSO and GA for grid-connected photovoltaic system: a comparative study

A Borni, N Bouarroudj… - … Journal of Power …, 2017 - inderscienceonline.com
In this paper, control strategies are proposed for photovoltaic system connected to the grid.
The solar panel is connected to DC link through power converters. Control methods of …

Improved fireworks algorithm with chaotic sequence operator for large-scale non-convex economic load dispatch problem

VC Pandey, VK Jadoun, N Gupta, KR Niazi… - Arabian Journal for …, 2018 - Springer
Fireworks algorithm (FWA) is one of the recently developed meta-heuristic techniques,
which has shown potential to solve non-shifted optimization functions. However, several …

Intelligent object recognition in underwater images using evolutionary-based Gaussian mixture model and shape matching

S Kannan - Signal, Image and Video Processing, 2020 - Springer
Object recognition in underwater images becomes a challenging task because of its poor
visibility conditions. Marine scientists often prefer automation tools for object recognition as …

Solving Power Economic Dispatch Problem with a Novel Quantum‐Behaved Particle Swarm Optimization Algorithm

L Ping, J Sun, Q Chen - Mathematical Problems in Engineering, 2020 - Wiley Online Library
This paper proposes the shrink Gaussian distribution quantum‐behaved optimization (SG‐
QPSO) algorithm to solve economic dispatch (ED) problems from the power systems area …