An improved rough set strategy-based sine cosine algorithm for engineering optimization problems
نویسندگان
چکیده
Abstract In this paper, a hybrid algorithm called rough sine cosine (RSCA) is introduced for solving engineering optimization problems by merging the (SCA) with set theory concepts (RST). RSCA combines benefits of SCA and RST to focus search promising region where global solution can be found. Due imprecise information on problems, efficient algorithms roughly identify optimal type uncertain data. The fundamental motive adding deal imprecision roughness available regarding optimal, especially large dimensional problems. cut concept targeted more interesting so operation could sped up, optimum reached at low computational cost. proposed tested 23 benchmark functions 3 design RSCA’s obtained results are mainly compared SCA, which used as first level in work those other literature. According comparisons, provide very competitive performance different algorithms.
منابع مشابه
EFFICIENCY OF IMPROVED HARMONY SEARCH ALGORITHM FOR SOLVING ENGINEERING OPTIMIZATION PROBLEMS
Many optimization techniques have been proposed since the inception of engineering optimization in 1960s. Traditional mathematical modeling-based approaches are incompetent to solve the engineering optimization problems, as these problems have complex system that involves large number of design variables as well as equality or inequality constraints. In order to overcome the various difficultie...
متن کاملFOA: ‘Following’ Optimization Algorithm for solving Power engineering optimization problems
These days randomized-based population optimization algorithms are in wide use in different branches of science such as bioinformatics, chemical physics andpower engineering. An important group of these algorithms is inspired by physical processes or entities’ behavior. A new approach of applying optimization-based social relationships among the members of a community is investigated in this pa...
متن کاملModified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables
This paper proposes a modified sine cosine algorithm (MSCA) for discrete sizing optimization of truss structures. The original sine cosine algorithm (SCA) is a population-based metaheuristic that fluctuates the search agents about the best solution based on sine and cosine functions. The efficiency of the original SCA in solving standard optimization problems of well-known mathematical function...
متن کاملHYBRID COLLIDING BODIES OPTIMIZATION AND SINE COSINE ALGORITHM FOR OPTIMUM DESIGN OF STRUCTURES
Colliding Bodies Optimization (CBO) is a population-based metaheuristic algorithm that complies physics laws of momentum and energy. Due to the stagnation susceptibility of CBO by premature convergence and falling into local optima, some meritorious methodologies based on Sine Cosine Algorithm and a mutation operator were considered to mitigate the shortcomings mentioned earlier. Sine Cosine Al...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Soft Computing
سال: 2023
ISSN: ['1433-7479', '1432-7643']
DOI: https://doi.org/10.1007/s00500-023-09155-z