Search Results - (feed OR need)-forward optimization algorithm
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1
Optimization of yeast fermentation process using genetic algorithm
Published 2021“…Since the excessive ethanol formation in the yeast fermentation process will have a negative impact on quality of the product, it is needed to optimize glucose feeding rate at optimal level for maximizing the yeast productivity. …”
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Proceedings -
2
Optimization of cnc turning parameters for minimizing temperature rise in aluminum using a genetic algorithm
Published 2024“…In the second optimization process, machining parameters such as cutting speed, feed rate, and depth of cut are optimized using a multi-objective genetic algorithm to concurrently lower temperature rise and surface roughness. …”
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Thesis -
3
Energy cost optimization in high speed hard turning using simulated annealing algorithm
Published 2015“…Then, the Simulated Annealing Algorithm (SAA) has been used to optimize the cutting parameters. …”
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Article -
4
Profit Optimization of a Refrigerated Gas Plant
Published 2007“…To widen its profit margin, the plant needs to operate more efficiently. This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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Conference or Workshop Item -
5
Profit Optimization of a Refrigerated Gas Plant
Published 2007“…To widen its profit margin, the plant needs to operate more efficiently. This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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Conference or Workshop Item -
6
Profit Optimization of a Refrigerated Gas Plant
Published 2007“…To widen its profit margin, the plant needs to operate more efficiently. This requires continuous re-evaluation of the operating conditions through an efficient optimization algorithm. …”
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7
Optimization of cutting parameters to reduce cutting tool temperature in a dry turning process using genetic algorithm
Published 2014“…The optimization has been carried out by manipulating the feed rate, depth of cut and cutting speed using Genetic Algorithm. …”
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Thesis -
8
Optimization of micro-end milling process parameters of titanium alloy using non-dominated sorting genetic algorithm
Published 2013“…Finally, non-dominated sorting genetic algorithm-II as evolutionary optimization approach was used for multi-objective optimization of the micro-end milling process. …”
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9
Optimization of Temperature Rise in Turning Using Single Objective Genetic Algorithm
Published 2023“…The parameters involve during this optimization are cutting speed, feed rate, depth of cut and nose radius by using genetic algorithm optimization. …”
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10
Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…The performance of the proposed algorithm was compared with a pre-determined exponential feeding profile and a genetic algorithm. …”
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11
A multi-criteria proximal bundle-based optimization approach to chick-mash feed formulation
Published 2016“…The development of feed formulation is essentially a problem of optimization which involves selecting the best alternative, starting from a specified set of possibilities. …”
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Article -
12
A proposed genetic algorithm to optimize service restoration in electrical networks with respect to the probability of transformers failure
Published 2010“…In many researches a Genetic Algorithm is employed as a powerful tool to solve this multi-objective, multi-constraint optimization problem. …”
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13
Artificial bee colony in optimizing process parameters of surface roughness in end milling and abrasive waterjet machining
Published 2012“…In end miling, three process parameters that need to be optimized are the cutting speed, feed rate and radial rake angle.…”
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Final Year Project Report / IMRAD -
14
Grouper fish feed formulation using enhanced evolutionary algorithm with fibonacci rabbit initialization and binary-standard deviation tournament selection
Published 2023“…Thus, a formulation for grouper fish feed is essential involving appropriate combination of ingredients to optimize nutritional balance with minimal cost. …”
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15
Machining optimization using Firefly Algorithm / Farhan Md Jasni
Published 2020“…Then, the result will be compared with Tabu Search (TS) Algorithm, Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Continuous Ant Colony Algorithm (CACO). …”
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Student Project -
16
Modelling and optimization of catalytic-dielectric barrier discharge plasma reactor for methane and carbon dioxide conversion using hybrid artificial neural network - genetic algor...
Published 2007“…A hybrid artificial neural network-genetic algorithm (ANN-GA) was developed to model, simulate and optimize the catalytic-dielectric barrier discharge plasma reactor. …”
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Article -
17
A genetic algorithm for solving single level lotsizing problems
Published 2003“…Thus, stochastically-based heuristics that have the mechanism to escape from local minimum are needed. In this paper a genetic algorithm for solving single level lot-sizing problems is proposed and the results of applying the algorithm toexample problems are discussed. …”
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Article -
18
The design and applications of the african buffalo algorithm for general optimization problems
Published 2017“…Some of the successfully designed stochastic algorithms include Simulated Annealing, Genetic Algorithm, Ant Colony Optimization, Particle Swarm Optimization, Bee Colony Optimization, Artificial Bee Colony Optimization, Firefly Optimization etc. …”
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Thesis -
19
Optimization of turning parameters using ant colony optimization
Published 2008“…The results indicate that the proposed ant colony framework is effective to optimized turning parameter. Lastly, ACO algorithm was successfully optimize depth of cut, cutting speed, feed rate and minimized production cost per unit.…”
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Undergraduates Project Papers -
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Power Consumption Optimization in CNC Turning Process Using Multi Objective Genetic Algorithm
Published 2012“…The constraints considered in this research are cutting speed, feed rate, depth of cut and rake angle. Due to complexity of this machining optimization problem, a multi objective genetic algorithm (MOGA)was applied to resolve the problem, and the results have been analyzed.…”
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