Reverse Search Strategy Based Optimization Technique to Economic Dispatch Problems with Multiple Fuels

Arumugam, Prakash; Panchapakesan, Madhavan; Balraj, Sudhakar; Subramanian, R

doi:10.1007/s42835-019-00108-x

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…Transmission losses are neglected. Required input data are taken from (Arumugam et al, 2019). Obtained minimum fuel cost is 623.8812 $/hr which is superior than other existing techniques like BSA (Bhattacharjee, 2018), SGO (Bhattacharjee & Patel, 2019), HPSO (Das et al, 2021), IGA_MU (Barisal, 2013).…”

Section: Test Case -1mentioning

confidence: 97%

Artificial Electric Field Algorithm Applied to the Economic Load Dispatch Problem With Valve Point Loading Effect

Shah

Soni

Bhattacharjee

2023

International Journal of Swarm Intelligence Research

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Economic load dispatch is to operate thermal generators economically with fulfilling load demand. This economic dispatch problem becomes highly complex and non-linear after considering various operating constraints like valve-point loading effect, generator operating constraints, and prohibited operating zone. The recently developed physics law-based artificial electric field algorithm has been applied to solve highly complex and non-linear ELD problems. The exploration and exploitation strategy of the algorithm helps to avoid local optimum value, and to get global optimum value in less computation time. The AEFA method has been applied to 10, 13, 15, 40, and large 110 thermal generators to validate the effectiveness of the proposed algorithm. The results obtained by the proposed algorithm have been compared with other recently developed algorithms.

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Section: Test Case -1mentioning

confidence: 97%

Artificial Electric Field Algorithm Applied to the Economic Load Dispatch Problem With Valve Point Loading Effect

Shah

Soni

Bhattacharjee

2023

International Journal of Swarm Intelligence Research

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“…Particle swarm optimization is a social inspired evolutionary algorithm, which has been implemented for solving various engineering problems [14][15][16]. Past studies considered particle swarm optimization (PSO) based task scheduling is more efficient for dynamic task scheduling.…”

Section: Fig1 Flow Process Of Task Scheduling In Cloud Environmentmentioning

confidence: 99%

Teaching-Learning Based Task Scheduling Optimization in Cloud Computing Environments

Goddu¹,

Reddi²

2019

IJRTE

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 Abstract: Generating optimal task scheduling plans in cloud environments is a tedious task as it is a np-hard problem. The optimal resource allocation in cloud environments involves more search space and time consuming. Therefore, recent researchers are focused on implementation of artificial intelligence to solve task scheduling problem. In this paper, a new and efficient evolutionary algorithm named teaching-learning based algorithm has been implemented first time to solve the task scheduling problem in cloud environments. The current research work considers the task scheduling problem as a multi-objective optimization problem. The proposed algorithm finds the best solution by minimizing the execution time and response time while maximizing the throughput of all resources to complete the assigned tasks.Index Terms: teaching-learning based optimization, task scheduling, cloud computing, multi-objective optimization, resource allocation and throughput.environments. The results showed that the proposed TLBO algorithm obtains the best solution in less number of iterations even for the cloud environments with huge search space.

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Modern Parking Business Using Blockchain and Internet of Things (IoT)

Narayanan

Kumar

Saxena

et al. 2020

Advances in Intelligent Systems and Computing

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Reverse Search Strategy Based Optimization Technique to Economic Dispatch Problems with Multiple Fuels

Cited by 4 publications

References 10 publications

Artificial Electric Field Algorithm Applied to the Economic Load Dispatch Problem With Valve Point Loading Effect

Artificial Electric Field Algorithm Applied to the Economic Load Dispatch Problem With Valve Point Loading Effect

Teaching-Learning Based Task Scheduling Optimization in Cloud Computing Environments

Modern Parking Business Using Blockchain and Internet of Things (IoT)

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