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Publication Details
Rosli, S. J., Rahim, H. A., Abdul Rani, K. N., Ngadiran, R., Ahmad, R. B., Yahaya, N. Z., Abdulmalek, M., Jusoh, M., Yasin, M. N. M., Sabapathy, T. & Andrew, A. M. 2020, A hybrid modified method of the sine cosine algorithm using latin hypercube sampling with the cuckoo search algorithm for optimization problems , Electronics, vol. 9, no. 11, pp. 1-23.
Abstract
The metaheuristic algorithm is a popular research area for solving various optimization problems. In this study, we proposed two approaches based on the Sine Cosine Algorithm (SCA), namely, modification and hybridization. First, we attempted to solve the constraints of the original SCA by developing a modified SCA (MSCA) version with an improved identification capability of a random population using the Latin Hypercube Sampling (LHS) technique. MSCA serves to guide SCA in obtaining a better local optimum in the exploitation phase with fast convergence based on an optimum value of the solutio ....

Sine Cosine Algorithm , Latin Hypercube Sampling , Cuckoo Search Algorithm , Particle Swarm Optimization , Grey Wolf Optimization , Artificial Bee Colony , Gravitational Search Algorithm , Central Processing Unit , கொக்கு தேடல் வழிமுறை , துகள் திரள் தேர்வுமுறை , சாம்பல் ஓநாய் தேர்வுமுறை , செயற்கை தேனீ காலனி , ஈர்ப்பு தேடல் வழிமுறை , மைய ப்ரோஸெஸிஂக் அலகு ,