Metaheuristic Techniques for Optimization of an<i>E. Coli</i>Cultivation Model

Fidanova, Stefka; Roeva, Olympia

doi:10.5504/bbeq.2012.0136

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…The results of this study demonstrate that product yields of enzyme and whole-cell bio-catalysis can be considerably enhanced not only by the enzyme but also by medium engineering employing a GA. [78] GA and ACO…”

Section: [76] Tsmentioning

confidence: 98%

Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future

Castillo-Villar

2014

Energies

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Bioenergy is a new source of energy that accounts for a substantial portion of the renewable energy production in many countries. The production of bioenergy is expected to increase due to its unique advantages, such as no harmful emissions and abundance. Supply-related problems are the main obstacles precluding the increase of use of biomass (which is bulky and has low energy density) to produce bioenergy. To overcome this challenge, large-scale optimization models are needed to be solved to enable decision makers to plan, design, and manage bioenergy supply chains. Therefore, the use of effective optimization approaches is of great importance. The traditional mathematical methods (such as linear, integer, and mixed-integer programming) frequently fail to find optimal solutions for non-convex and/or large-scale models whereas metaheuristics are efficient approaches for finding near-optimal solutions that use less computational resources. This paper presents a comprehensive review by studying and analyzing the application of metaheuristics to solve bioenergy supply chain models as well as the exclusive challenges of the mathematical problems applied in the bioenergy supply chain field. The reviewed metaheuristics include: (1) population approaches, such as ant colony optimization (ACO), the genetic algorithm (GA), particle swarm optimization (PSO), and bee colony algorithm (BCA); and (2) trajectory approaches, such as the tabu search (TS) and simulated annealing (SA). Based on the outcomes of this literature review, the integrated design and planning of bioenergy supply chains problem has been solved primarily by implementing the GA. The production process optimization was addressed primarily by using both the GA and PSO. The supply chain network design problem was treated by utilizing the GA and ACO. The truck and task scheduling problem was solved using the SA and the TS, where the trajectory-based methods proved to outperform the population-based methods. OPEN ACCESSEnergies 2014, 7 7641

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Section: [76] Tsmentioning

confidence: 98%

Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future

Castillo-Villar

2014

Energies

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“…The multistage technological processes are often designed in technology, especially in biotechnology [1], [9], [10], [11], chemical engineering [4], [8], as well as in environmental engineering [13], [14], [15].…”

Section: Introductionmentioning

confidence: 99%

The matrix-based description approach for the multistage differential-algebraic processes

Drąg

Styczeń

2016

Annals of Computer Science and Information Systems

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Abstract-In the article a new insight into an optimal control problem of the multistage processes has been given. The multistage descriptor processes with differential-algebraic constraints are under considerations. The new representation of the descriptor model has been presented. Moreover, the new structures to represent the differential state variables, algebraic state variables, control function, as well the global parameters have been introduced. The generalized description enables the unified representation of a broad group of the multistage processes with differential-algebraic relations and indicates on the physical interpretation of the process variables.

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Metaheuristic Algorithms: Theory and Applications

Ribagin

Lyubenova

2021

Studies in Computational Intelligence

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Metaheuristic Techniques for Optimization of anE. ColiCultivation Model

Cited by 9 publications

References 32 publications

Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future

Metaheuristic Algorithms Applied to Bioenergy Supply Chain Problems: Theory, Review, Challenges, and Future

The matrix-based description approach for the multistage differential-algebraic processes

Metaheuristic Algorithms: Theory and Applications

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