Time–Cost Trade-Off Problems with Multi-objective Quasi-Oppositional Teaching Learning-Based Optimization

Mohammad Azım Eırgash; Vedat Toğan; Tayfun Dede

doi:10.1007/978-981-19-9285-8_26

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Time–Cost Trade-Off Problems with Multi-objective Quasi-Oppositional Teaching Learning-Based Optimization

Mohammad Azım Eırgash Vedat Toğan Tayfun Dede

Year: 2023 Lecture notes in mechanical engineering Pages: 269-277 Publisher: Springer Nature

DOI: 10.1007/978-981-19-9285-8_26

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Keywords:

Benchmark (surveying) Mathematical optimization Computer science Opposition (politics) Convergence (economics) Multi-objective optimization Pareto principle Population Artificial intelligence Machine learning Mathematics Economics Sociology Geography

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Resource-Constrained Project Scheduling

Social Sciences → Decision Sciences → Management Science and Operations Research

Advanced Multi-Objective Optimization Algorithms

Physical Sciences → Computer Science → Computational Theory and Mathematics

BIM and Construction Integration

Physical Sciences → Engineering → Building and Construction

Time–Cost Trade-Off Problems with Multi-objective Quasi-Oppositional Teaching Learning-Based Optimization

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