Penerapan Hiperheuristik Berbasis Metode Simulated Annealing untuk Penyelesaian Permasalahan Optimasi Lintas Domain by Nisa Dwi Angresti, Arif Djunaidy, Ahmad Mukhlason

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GWO-Based Simulated Annealing Approach for Load Balancing in Cloud for Hosting Container as a Service by Manoj Kumar Patra, Sanjay Misra, Bibhudatta Sahoo, Ashok Kumar Turuk

“…In this paper, we propose a Grey Wolf Optimization (GWO) based Simulated Annealing approach to counter the problem of load balancing in the containerized cloud that also considers the deadline miss rate. …”
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A Simulated Annealing Approach to Designing Optimal Decision Trees for Classification, Prescriptive, and Survival Analysis by Sujichantararat, Suleeporn

“…We focus on three problem domains: classification, prescriptive and survival analysis to produce Optimal Classification Trees with Simulated Annealing (OCT-SA), Optimal Policy Tree with Simulated Annealing (OPT-SA), and Optimal Survival Tree with Simulated Annealing (OST-SA). …”
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Integrated scheduling and vehicle routing at cross-dock distribution centre: a simulated annealing approach by Saxena, Shikhar, Piplani, Rajesh

“…To solve real-life sized problems, we develop simulated annealing algorithms which can solve the instances in 2-3 hours, achieving close to optimal solutions, making them suitable for decision support at cross-dock distribution centres, which process dozens of vehicles and deliver to hundreds of customers daily.…”
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A simulated annealing based approach for near-optimal sensor selection in TDOA localization system by Zhu, Buyuan

“…In this FYP, we address the Sensor Selection Problem in TDOA localization system, where a subset of K sensors is chosen from a total of N sensors such that the trace of the Cramer-Rao lower bound (CRLB) is minimized. We present a simulated annealing (SA) based method to solve the resulting minimization problem. …”
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Evaluasi algoritma simulated annealing, greedy dan tetangga terdekat untuk traveling salesman problem by , AMIN, Ahmad, , Dr. H. Jazi Eko Istiyanto

Crystal indexing method using a simulated annealing algorithm with particular applications in nanocrystal research by Yiu, K, Tam, K, Tsang, S

“…This article is concerned with an application of a combinatorial optimization technique using the simulated annealing algorithm for solving the crystal indexing problem where traditional descent optimization cannot be used. …”

Crystal indexing method using a simulated annealing algorithm with particular applications in nanocrystal research by Yiu, K, Tam, K, Tsang, S

Automatic Multi-Objective Clustering Algorithm Using Hybrid Particle Swarm Optimization With Simulated Annealing. by Abubaker, Ahmad Asad

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Traveling salesman problem approach for solving drug distribution using simulated annealing and Tabu search by Wakat, Spencer Embong

“…In the simulated annealing, the right setting for the cooling schedule is very important so that the algorithm will converge to a near-optimal solution. …”
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An optimized hybrid kohonen neural network for ambiguity detection in cluster analysis using simulated annealing by Md. Sap, Mohd. Noor, Mohebi, Ehsan

“…In this paper to overcome the ambiguity involved in cluster analysis, a combination of Rough set Theory and Simulated Annealing is proposed that has been applied on the output grid of SOM. …”

Hybrid kohonen self organizing map for the uncertainty involved in overlapping clusters using simulated annealing by Mohebi, E., Sap, M. N. M.

“…The optimized twolevel stage SA-Rough SOM (Simulated Annealing - Rough Self Organizing Map) (first using SOM to produce the prototypes that are then clustered in the second stage based on the combination of rough set and simulated annealing) is found to perform well and more accurate compared with the crisp clustering methods (i.e. …”

Hybrid kohonen self organizing map for the uncertainty involved in overlapping clusters using simulated annealing by Mohebi, E., Sap, M. N. M.

“…The optimized two-level stage SA-Rough SOM (simulated annealing - rough self organizing map) (first using SOM to produce the prototypes that are then clustered in the second stage based on the combination of rough set and simulated annealing) is found to perform well and more accurate compared with the crisp clustering methods (i.e. …”

An enhanced simulated annealing approach for cylindrical, rectangular mesh, and semi-diagonal torus network topologies by Adzhar, Noraziah

“…The arrangement was further refined using a simulated annealing method. From this technique, the minimum number of layers was produced to complete the routing with lower energy level and to provide the best path if it exists, with the presence of obstacles. …”
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Optimization of rain gauge network in Johor using hybrid particle swarm optimization and simulated annealing by Mohd. Aziz, Mohd. Khairul Bazli

“…In this study, hybrid simulated annealing and particle swarm optimization as an optimization method successfully determined the optimal rain gauges network in Johor. …”
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Traveling salesman problem approach for solving petrol distribution using simulated annealing and tabu search by Wan Ibrahim, Wan Rohaizad

Hybrid cat swarm optimization and simulated annealing for dynamic task scheduling on cloud computing environment by Gabi, Danlami, Ismail, Abdul Samad, Zainal, Anazida, Zakaria, Zalmiyah, Al-Khasawneh, Ahmad

“…In this study, a Cloud Scalable Multi-Objective Cat Swarm Optimization-based Simulated Annealing algorithm is proposed. In the proposed method, the orthogonal Taguchi approach is applied to enhance the SA which is incorporated into the local search of the proposed CSMCSOSA algorithm for scalability performance. …”

Channel assignments using constrained greedy algorithm, T-coloring and simulated annealing in mesh and cellular networks by Salahudin, Nur Atikah

“…Here, an algorithm called Improved Greedy Algorithm was proposed to solve the channel assignments by considering the adjacent channel and co-channel constraints which is an improvement to the algorithm. Besides, Simulated Annealing and T-coloring problem are combined to minimize the channels used. …”
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Hybrid Cat Swarm Optimization and Simulated Annealing for Dynamic Task Scheduling on Cloud Computing Environment by Gabi, Danlami, Ismail, Abdul Samad, Zainal, Anazida, Zakaria, Zalmiyah, Al-Khasawneh, Ahmad

“…In this study, a Cloud Scalable Multi-Objective Cat Swarm Optimization-based Simulated Annealing algorithm is proposed. In the proposed method, the orthogonal Taguchi approach is applied to enhance the SA which is incorporated into the local search of the proposed CSMCSOSA algorithm for scalability performance. …”
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A Mathematical Method for Managing Inventories in a Dual Channel Supply Chain by H. Teimory, H. Mirzahosseinian, A. Kaboli

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