scholarly journals Highly Precise Modified Blue Whale Method Framed by Blending Bat and Local Search Algorithm for the Optimality of Image Fusion Algorithm

2020 ◽  
Vol 2 (4) ◽  
pp. 195-208
Author(s):  
Sayantan Dutta ◽  
Ayan Banerjee
Keyword(s):  
Local Search ◽  
Image Fusion ◽  
Optimization Algorithm ◽  
Search Algorithm ◽  
Optimization Techniques ◽  
Whale Optimization Algorithm ◽  
Local Search Algorithm ◽  
Fusion Algorithm ◽  
Whale Optimization ◽  
Nature Inspired Algorithm

Image fusion has gained huge popularity in the field of medical and satellite imaging for image analysis. The lack of usages of image fusion is due to a deficiency of suitable optimization techniques and dedicated hardware. In recent days WOA (whale optimization algorithm) is gaining popularity. Like another straightforward nature-inspired algorithm, WOA has some problems in its searching process. In this paper, we have tried to improve the WOA algorithm by modifying the WOA algorithm. This MWOA (modified whale optimization algorithm) algorithm is amalgamed with LSA (local search algorithm) and BA (bat algorithm). The LSA algorithm helps the system to be faster, and BA algorithm helps to increase the accuracy of the system. This optimization algorithm is checked using MATLAB R2018b. Simulated using ModelSim, and the synthesizing is done using Xilinx Vivado 18.2 synthesis tool. The outcome of the simulation result and the synthesis result outshine other metaheuristic optimization algorithms.

scholarly journals Statistical Assessment of Whale Optimization Algorithm for Sizing and Placement of DG Considering Multi-Objective Function with PSO and CSA Algorithm

2020 ◽  
Vol 9 (5) ◽  
pp. 404-411
Keyword(s):  
Optimization Algorithm ◽  
Energy Demand ◽  
Power Plants ◽  
Search Algorithm ◽  
Optimization Techniques ◽  
Whale Optimization Algorithm ◽  
Optimal Placement ◽  
Critical System ◽  
Multi Objective ◽  
Whale Optimization

Distributed or decentralized power generation (DGEN) technology is popularized in the 21st century and it emerged has an effective alternative solution to meet the forecasted energy demand for restructured power system by putting restriction on power plants and transmission lines of the of the next decade generation. Modified state policies and increased technological innovation for low-capacity production promotes increased development and investment of DGEN. The use of distributed renewable energy generation has been driven by environmental concerns. DGEN's incorporation into the distribution side of the network offers critical system advantages such as voltage assistance support, reduction in loss, transmission power increase, strengthened system performance, etc. This paper presents the optimized DG placement (ODGP) and sizing solution in distribution side of the network for the multiobjective formulation includes the objective of minimizing the losses, maximization of voltage stability and also includes the cost requirement. The new Meta-heuristic based Approach named as Whale optimization algorithm is used for optimal placement and Sizing of DGEN is considered in this work and the solution of the proposed optimization algorithm is compared with two most popular optimization techniques such as Particle Swarm Optimization (PSOA), Cuckoo Search Algorithm (CSOA). The comparative analysis of these above said optimization techniques is developed and compared for performance comparison can be done with 69 bus IEEE standard radial system to validate the results of the proposed multi objective problem.

scholarly journals Optimal Tuning of SVC-PI Controller using Whale Optimization Algorithm for Angle Stability Improvement

2018 ◽  
Vol 12 (2) ◽  
pp. 620
Author(s):  
N. A. M. Kamari ◽  
I. Musirin ◽  
Z. A. Hamid ◽  
A. A. Ibrahim
Keyword(s):  
Optimization Algorithm ◽  
Damping Ratio ◽  
Optimization Technique ◽  
Computation Time ◽  
Synchronous Generator ◽  
Pi Controller ◽  
Optimization Techniques ◽  
Whale Optimization Algorithm ◽  
Whale Optimization ◽  
Angle Stability

This paper proposed a new swarm-based optimization technique for tuning conventional proportional-integral (PI) controller parameters of a static var compensator (SVC) which controls a synchronous generator in a single machine infinite bus (SMIB) system. As one of the Flexible Alternating Current Transmission Systems (FACTS) devices, SVC is designed and implemented to improve the damping of a synchronous generator. In this study, two parameters of PI controller namely proportional gain, K<sub>P</sub> and integral gain, K<sub>I</sub> are tuned with a new optimization method called Whale Optimization Algorithm (WOA). This technique mimics the social behavior of humpback whales which is characterized by their bubble-net hunting strategy in order to enhance the quality of the solution. Validation with respect to damping ratio and eigenvalues determination confirmed that the proposed technique is more efficient than Evolutionary Programming (EP) and Artificial Immune System (AIS) in improving the angle stability of the system. Comparison between WOA, EP and AIS optimization techniques showed that the proposed computation approach gives better solution and faster computation time.

scholarly journals Artificial Neural Networks Based Optimization Techniques: A Review

Electronics ◽  
2021 ◽  
Vol 10 (21) ◽  
pp. 2689
Author(s):  
Maher G. M. Abdolrasol ◽  
S. M. Suhail Hussain ◽  
Taha Selim Ustun ◽  
Mahidur R. Sarker ◽  
Mahammad A. Hannan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Optimization Algorithm ◽  
Search Algorithm ◽  
Optimization Techniques ◽  
Initial Population ◽  
Neural Net ◽  
Bee Colony ◽  
Whale Optimization ◽  
Artificial Neural

In the last few years, intensive research has been done to enhance artificial intelligence (AI) using optimization techniques. In this paper, we present an extensive review of artificial neural networks (ANNs) based optimization algorithm techniques with some of the famous optimization techniques, e.g., genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC), and backtracking search algorithm (BSA) and some modern developed techniques, e.g., the lightning search algorithm (LSA) and whale optimization algorithm (WOA), and many more. The entire set of such techniques is classified as algorithms based on a population where the initial population is randomly created. Input parameters are initialized within the specified range, and they can provide optimal solutions. This paper emphasizes enhancing the neural network via optimization algorithms by manipulating its tuned parameters or training parameters to obtain the best structure network pattern to dissolve the problems in the best way. This paper includes some results for improving the ANN performance by PSO, GA, ABC, and BSA optimization techniques, respectively, to search for optimal parameters, e.g., the number of neurons in the hidden layers and learning rate. The obtained neural net is used for solving energy management problems in the virtual power plant system.

scholarly journals Loss Minimization by Reconfiguration in Radial Distribution Network using Whale Optimization Technique

2020 ◽  
Vol 9 (2) ◽  
pp. 1746-1751
Keyword(s):  
Radial Distribution ◽  
Optimization Algorithm ◽  
Distribution Systems ◽  
Heuristic Algorithms ◽  
Optimization Technique ◽  
Optimization Techniques ◽  
Whale Optimization Algorithm ◽  
Function Evaluation ◽  
Voltage Profile ◽  
Whale Optimization

This paper provides a new approach for solving the problem of network reconfiguration in the presence of Whale Optimization Algorithm (WOA). It is aimed at reducing actual power loss and enlightening the voltage profile in the supply system. The voltage and branch current capacity constraints have been included in the objective function evaluation. The method has been evaluated at three separate heuristic algorithms on 33-bus radial distribution systems to demonstrate the performance and effectiveness of the proposed method. In this paper the comparison of performance of two latest optimization techniques such as Whale Optimization Algorithm (WOA) with classic optimization techniques such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The new optimization technique produces better result compare to other two optimization logarithm..

scholarly journals Distribution power system reconfiguration using whale optimization algorithm

2020 ◽  
Vol 9 (1) ◽  
pp. 48
Author(s):  
Mahmoud Soliman ◽  
Almoataz Y. Abdelaziz ◽  
Rabab M. El-Hassani
Keyword(s):  
Power System ◽  
Optimization Algorithm ◽  
Optimization Techniques ◽  
Whale Optimization Algorithm ◽  
Total Power ◽  
Heuristic Methods ◽  
Power Distribution System ◽  
System Reconfiguration ◽  
Whale Optimization ◽  
Bus System

<p>This study discusses how to enhance the power distribution system and one of the most important ways to do that is by reconfiguration of the power system. Reconfiguration means changing the topology of the radial distribution network by changing the status of switches. The objective is to minimize the total power loss and enhance the voltage profile. Many optimization techniques were used to solve this problem such as classical optimization which is proven to be time consuming method and heuristic methods which are more efficient in our problem here. In this paper, the whale optimization algorithm (WOA) which is one of the modern heuristic optimization techniques and it has high efficiency to solve discrete optimization problems, is used to get the optimum case in reconfiguration problem. WOA is applied to (33 bus system, 69 bus system, and 118 bus system) and results are compared to other heuristic methods.</p>

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