Multi-objective optimization of truss structures using the enhanced Lichtenberg algorithm DOI
Natee Panagant, Shubham Mahajan, Sadiq M. Sait

и другие.

Materials Testing, Год журнала: 2024, Номер 67(2), С. 297 - 312

Опубликована: Дек. 17, 2024

Abstract The primary objective of numerous optimization problems is to enhance a single metric whose lowest or highest value accurately reflects the response quality system. However, in some instances, relying solely on one not practical, leading consideration multi-objective (MO) that aim improve multiple performance indicators simultaneously. This approach requires use method adept at handling intricacies scenarios with various indices. Consequently, researchers have explored truss as extensively single-objective (SO) scenarios. novel Lichtenberg algorithm two archives (MOLA-2arc) has been developed address this. efficacy MOLA-2arc evaluated against eight other MO algorithms, including bat (MOBA), crystal structure (MOCRY), cuckoo search (MOCS), firefly (MOFA), flower pollination (MOFPA), harmony (MOHS), jellyfish (MOJS) algorithm, and original (MOLA). challenge minimize structural mass compliance while adhering stress limitations. outcomes demonstrate shows notable improvements over its predecessor, MOLA, surpasses all competing algorithms this study.

Язык: Английский

Multi-objective optimization of truss structures using the enhanced Lichtenberg algorithm DOI
Natee Panagant, Shubham Mahajan, Sadiq M. Sait

и другие.

Materials Testing, Год журнала: 2024, Номер 67(2), С. 297 - 312

Опубликована: Дек. 17, 2024

Abstract The primary objective of numerous optimization problems is to enhance a single metric whose lowest or highest value accurately reflects the response quality system. However, in some instances, relying solely on one not practical, leading consideration multi-objective (MO) that aim improve multiple performance indicators simultaneously. This approach requires use method adept at handling intricacies scenarios with various indices. Consequently, researchers have explored truss as extensively single-objective (SO) scenarios. novel Lichtenberg algorithm two archives (MOLA-2arc) has been developed address this. efficacy MOLA-2arc evaluated against eight other MO algorithms, including bat (MOBA), crystal structure (MOCRY), cuckoo search (MOCS), firefly (MOFA), flower pollination (MOFPA), harmony (MOHS), jellyfish (MOJS) algorithm, and original (MOLA). challenge minimize structural mass compliance while adhering stress limitations. outcomes demonstrate shows notable improvements over its predecessor, MOLA, surpasses all competing algorithms this study.

Язык: Английский

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