Journal ArticleDOI
Colonial competitive algorithm A novel approach for PID controller design in MIMO distillation column process
TLDR
CCA, a novel socio‐politically inspired optimization strategy, is used to tune the parameters of a multivariable PID controller for a typical distillation column process.Abstract:
Purpose – This paper aims to describe colonial competitive algorithm (CCA), a novel socio‐politically inspired optimization strategy, and how it is used to solve real world engineering problems by applying it to the problem of designing a multivariable proportional‐integral‐derivative (PID) controller Unlike other evolutionary optimization algorithms, CCA is inspired from a socio‐political process – the competition among imperialists and colonies In this paper, CCA is used to tune the parameters of a multivariable PID controller for a typical distillation column processDesign/methodology/approach – The controller design objective was to tune the PID controller parameters so that the integral of absolute errors, overshoots and undershoots be minimized This multi‐objective optimization problem is converted to a mono‐objective one by adding up all the objective functions in which the absolute integral of errors is emphasized to be reduced as long as the overshoots and undershoots remain acceptableFindinread more
Citations
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Journal ArticleDOI
Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques
TL;DR: Most of the papers in the field of supply chain network design focus on economic performance, but recently, some studies have considered environmental dimensions.
Proceedings Article
A review of population-based meta-heuristic algorithm
TL;DR: Several population-based meta-heuristics in continuous (real) and discrete (binary) search spaces are explained in details and design, main algorithm, advantages and disadvantages of the algorithms are covered.
Journal ArticleDOI
A robust PID controller based on imperialist competitive algorithm for load-frequency control of power systems.
TL;DR: A new PID controller for resistant differential control against load disturbance is introduced that can be used for load frequency control (LFC) application and a comparison between this controller and two other prevalent PI controllers, optimized by GA and Neural Networks, has been done which represents advantages of this controller over others.
Journal ArticleDOI
Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition
Danial Jahed Armaghani,Edy Tonnizam Mohamad,Mogana Sundaram Narayanasamy,Nobuya Narita,Saffet Yagiz +4 more
TL;DR: In this article, the authors developed new intelligent prediction models for estimating the tunnel boring machine performance (TBM) by means of the rate pf penetration (PR) of the Pahang-Selangor Raw Water Transfer (PSRWT) tunnel in Malaysia.
Journal ArticleDOI
Optimum design of skeletal structures using imperialist competitive algorithm
Ali Kaveh,Siamak Talatahari +1 more
TL;DR: In this paper, a socio-politically motivated strategy called imperialist competitive algorithm (ICA) is presented to optimize the skeletal structures of a multi-agent algorithm with each agent being a country, which is either a colony or an imperialist.
References
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An Introduction to Genetic Algorithms
TL;DR: An Introduction to Genetic Algorithms focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.
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Practical Genetic Algorithms
Randy L. Haupt,Sue Ellen Haupt +1 more
TL;DR: Introduction to Optimization The Binary genetic Algorithm The Continuous Parameter Genetic Algorithm Applications An Added Level of Sophistication Advanced Applications Evolutionary Trends Appendix Glossary Index.
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Ant colony optimization theory: a survey
Marco Dorigo,Christian Blum +1 more
TL;DR: A survey on theoretical results on ant colony optimization, which highlights some open questions with a certain interest of being solved in the near future and discusses relations between ant colonies optimization algorithms and other approximate methods for optimization.
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Practical Genetic Algorithms
TL;DR: In this article, the authors present a practical GA for practical genetic algorithms, where the algorithm is based on a set of algorithms from Practical Genetic Algorithms (PGA).