Ant Colony, Bee Colony and Elephant Herd Optimisations for Estimating Aqueous-Phase Adsorption Model Parameters

Ackmez Mudhoo, Gaurav Sharma, Khim Hoong Chu, Mika Sillanpää

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Adsorption parameters (e.g. Langmuir constant, mass transfer coefficient and Thomas rate constant) are involved in the design of aqueous-media adsorption treatment units. However, the classic approach to estimating such parameters is perceived to be imprecise. Herein, the essential features and performances of the ant colony, bee colony and elephant herd optimisation approaches are introduced to the experimental chemist and chemical engineer engaged in adsorption research for aqueous systems. Key research and development directions, believed to harness these algorithms for real-scale water treatment (which falls within the wide-ranging coverage of the Sustainable Development Goal 6 (SDG 6) 'Clean Water and Sanitation forAll'), are also proposed. The ant colony, bee colony and elephant herd optimisations have higher precision and accuracy, and are particularly efficient in finding the global optimum solution. It is hoped that the discussions can stimulate both the experimental chemist and chemical engineer to delineate the progress achieved so far and collaborate further to devise strategies for integrating these intelligent optimisations in the design and operation of real multicomponent multi-complexity adsorption systems for water purification.

Original languageEnglish
Title of host publicationArtificial Intelligence, Engineering Systems and Sustainable Development
Subtitle of host publicationDriving the UN SDGs
PublisherEmerald Group Publishing Ltd.
Pages55-66
Number of pages12
ISBN (Electronic)9781837535408
ISBN (Print)9781837535415
DOIs
Publication statusPublished - 18 Jan 2024

Keywords

  • Adsorption
  • Ant colony
  • Bee
  • Elephant herd
  • Model parameters
  • Optimisation

ASJC Scopus subject areas

  • General Economics,Econometrics and Finance
  • General Business,Management and Accounting

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