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Found 5 papers, 0 papers with code
Coding by Design: GPT-4 empowers Agile Model Driven Development
In the first and second layer of our approach, we constructed a textual representation of the case-study using Unified Model Language (UML) diagrams.
Alleviating Search Bias in Bayesian Evolutionary Optimization with Many Heterogeneous Objectives
To this end, we develop a multi-objective Bayesian evolutionary optimization approach to HE-MOPs by exploiting the different data sets on the cheap and expensive objectives in HE-MOPs to alleviate the search bias caused by the heterogeneous evaluation costs for evaluating different objectives.
Recent Advances in Bayesian Optimization
Bayesian optimization has emerged at the forefront of expensive black-box optimization due to its data efficiency.
Transfer Learning Based Co-surrogate Assisted Evolutionary Bi-objective Optimization for Objectives with Non-uniform Evaluation Times
Most existing multiobjetive evolutionary algorithms (MOEAs) implicitly assume that each objective function can be evaluated within the same period of time.
Automatic Preference Based Multi-objective Evolutionary Algorithm on Vehicle Fleet Maintenance Scheduling Optimization
A preference based multi-objective evolutionary algorithm is proposed for generating solutions in an automatically detected knee point region.
