Fitness partition-based multi-objective differential evolutionary algorithm and its application to the sodium gluconate fermentation process
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Summary
It is shown that the FPMDE can optimize the conditions of the production of sodium gluconate effectively and efficiently.
- Type
- article
- Published
- 2018-06-01
- Cited by
- 7
- References
- 32
- OpenAlex
- https://openalex.org/W2795748054
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:125966345
Keywords
Partition (number theory), Process (computing), Differential evolution, Computer science, Mathematics
References
- Evolutionary Algorithms for Solving Multi-Objective Problems
- Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces
- Multi-objective optimization using evolutionary algorithms
- Development of a hybrid model for sodium gluconate fermentation by Aspergillus niger
- A Multiobjective Evolutionary Algorithm Using Gaussian Process-Based Inverse Modeling
- Multi-objective optimization using genetic algorithms: A tutorial
- The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance
- Differential evolution strategy for structural system identification
- Applications of biopolymers and other biotechnological products in building materials
- SODIUM GLUCONATE PRODUCTION. FERMENTATION WITH ASPERGILLUS NIGER
- An Evolutionary Many-Objective Optimization Algorithm Using Reference-Point-Based Nondominated Sorting Approach, Part I: Solving Problems With Box Constraints
- A mathematical model for gluconic acid fermentation by Aspergillus niger
- A New Local Search-Based Multiobjective Optimization Algorithm
- A multi-objective particle swarm optimizer based on decomposition
- Adaptive Multiobjective Particle Swarm Optimization Based on Parallel Cell Coordinate System
- Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
- A fast and elitist multiobjective genetic algorithm: NSGA-II
- Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization
- Strategies for finding good local guides in multi-objective particle swarm optimization (MOPSO)
- MOEA/D: A Multiobjective Evolutionary Algorithm Based on Decomposition
Cited by
- A differential evolution approach to estimate parameters in a temperature-dependent kinetic model for second generation ethanol production under high cell density with Spathaspora passalidarum
- Performance evaluation of heavy oil fly ash as a retarder of Portland cement hydration
- Hybridized multi-objective optimization approach (HMODE) for lysine fed-batch fermentation process
- Optimization of Data Processing System for Exercise and Fitness Process Based on Internet of Things
- Co-immobilization of glucose oxidase and catalase in porous magnetic chitosan microspheres for production of sodium gluconate
- A novel economic dispatch of energy-renewable multi-area power systems with group-based differential evolution
- Adaptive multi-objective differential evolution algorithm driven by knowledge of superior-inferior subpopulations with application to sodium gluconate process
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