Comparison of Genetic Algorithm with Particle Swarm Optimisation, Ant Colony Optimisation and Tabu Search based on University Course Scheduling System

Rohini, V; Natarajan, A. M.

doi:10.17485/ijst/2016/v9i21/85379

Cited by 5 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, Due to the complexity of interconnected power systems with a large number of nonlinear properties, Mamdani implemented the first fuzzy logic control algorithm on a steam engine after Zadeh introduced fuzzy set theory. Fuzzy logic controllers are some of the controllers better suited to these systems; they have several advantages: (i) providing a featured of copy data quickly and efficiently, (ii) having fast interaction during the process, and (iii) providing rules extracted from human brain and experts [14,15]. The authors of [16] compared different controllers in a deregulated power system for diverse multiple-area sources using differential evolution (DE) and genetic algorithm (GA).…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Automatic Generation Control Based on Simulated Annealing in Interconnected Two-Area Power System Using Hybrid PID—Fuzzy Control

Magzoub

Alquthami

2022

Energies

View full text Add to dashboard Cite

Electricity demand continues to rise on a daily basis. The most difficult task is ensuring that customers have access to reliable, high-quality electricity regardless of the weather. Automatic generation control (AGC) accomplishes this by keeping the target output power and frequency constant despite load fluctuations. This paper presents a hybrid PID-fuzzy controller for optimal automatic generation control in a two-area interconnected power system. A comparative analysis of the proposed controller was performed with the PID controller. The parameters of the both controllers were developed by simulated annealing (SA) techniques in order to obtain the best dynamic performance. MATLAB Simulink software was used to simulate the models. The results of the simulation for the two-area power system based on simulated annealing using the hybrid PID–fuzzy controller showed superior performance in comparison to a conventional PID controller.

show abstract

Section: Introductionmentioning

confidence: 99%

Optimal Design of Automatic Generation Control Based on Simulated Annealing in Interconnected Two-Area Power System Using Hybrid PID—Fuzzy Control

Magzoub

Alquthami

2022

Energies

View full text Add to dashboard Cite

show abstract

“…Many heuristic approaches have been developed, including graph coloring methods using Kempe exchanges [16,17], Max-SAT solvers [2], genetic algorithms [1,8], ant colony optimization [24] , tabu search [15,25], and hybrid approaches [18]. See also the surveys [22,20,3].…”

Section: Introductionmentioning

confidence: 99%

Automated timetabling for small colleges and high schools using huge integer programs

Friedman¹

2016

Preprint

View full text Add to dashboard Cite

We formulate an integer program to solve a highly constrained academic timetabling problem at the United States Merchant Marine Academy. The IP instance that results from our real case study has approximately both 170,000 rows and columns and solves to optimality in 4-24 hours using a commercial solver on a portable computer (near optimal feasible solutions were often found in 4-12 hours). Our model is applicable to both high schools and small colleges who wish to deviate from group scheduling. We also solve a necessary preprocessing student subgrouping problem, which breaks up big groups of students into small groups so they can optimally fit into small capacity classes.

show abstract

Auto-generate scheduling system based on expert system

Ilham

Saat

Rahman

et al. 2017

2017 7th IEEE International Conference on Control System, Computing and Engineering (ICCSCE)

View full text Add to dashboard Cite

Comparison of Genetic Algorithm with Particle Swarm Optimisation, Ant Colony Optimisation and Tabu Search based on University Course Scheduling System

Cited by 5 publications

References 4 publications

Optimal Design of Automatic Generation Control Based on Simulated Annealing in Interconnected Two-Area Power System Using Hybrid PID—Fuzzy Control

Optimal Design of Automatic Generation Control Based on Simulated Annealing in Interconnected Two-Area Power System Using Hybrid PID—Fuzzy Control

Automated timetabling for small colleges and high schools using huge integer programs

Auto-generate scheduling system based on expert system

Contact Info

Product

Resources

About