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Forests | Free Full-Text | Demand-Led Optimization of Urban Park Services

As the demand for cultural and recreational services grows, the mismatch between the supply and demand of park services significantly affects residents’ well-being. Optimizing the spatial layout of park services is a focal point of urban park and green space research. Taking Hangzhou, Zhejiang Province, as a case study, this research analyzes the spatial patterns and balance of park service supply and demand. Utilizing the Grey Wolf Optimization Model optimized by the K-Nearest Neighbor Model (GWO-KNN), this study proposes construction objectives for optimizing park services. The results indicate the following: (1) significant differences exist in the park service demands of residents in different residential environments; (2) there is a noticeable spatial disparity in park service supply among various residential areas with an overall positive correlation between park service supply levels and resident demands, yet an imbalance exists; (3) this study categorizes spatial types in ....

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"A hybrid modified method of the sine cosine algorithm using latin hype" by Siti Rosli, Hasliza Rahim et al.

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 ,