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Statistically-based predictive models using response surface regression for relative density , meltpool geometry , peak temperature , and time above melting point are developed and multi-objective optimization studies are conducted by using genetic algorithm and swarm intelligence .
 concept or principle: predictive models; concept or principle: surface; concept or principle: regression; machanical property: relative density; process characterization: meltpool; concept or principle: geometry; process parameter: temperature; machanical property: melting point; concept or principle: optimization; concept or principle: genetic algorithm
Given options, please tell me the categories of all the listed entity words.Output format is "type1: word1; type2: word2". 
Option: manufacturing standard, machanical property, manufacturing process, material, engineering feature, process parameter, machine or equipment, application, process characterization, enabling technology, biomedical, concept or principle 
Text: {0} 
 Entities: predictive models, surface, regression, relative density, meltpool, geometry, temperature, melting point, optimization, genetic algorithm 
Answer:
 concept or principle: predictive models; concept or principle: surface; concept or principle: regression; machanical property: relative density; process characterization: meltpool; concept or principle: geometry; process parameter: temperature; machanical property: melting point; concept or principle: optimization; concept or principle: genetic algorithm