Results 21 to 30 of about 122,614 (295)

A Phoenix++ Based New Genetic Algorithm Involving Mechanism of Simulated Annealing

International Journal of Distributed Sensor Networks, 2015
Genetic algorithm is easy to fall into local optimal solution. Simulated annealing algorithm may accept nonoptimal solution at a certain probability to jump out of local optimal solution.
Luokai Hu, Jin Liu, Chao Liang, Fuchuan Ni, Hang Chen   +4 more
doaj   +1 more source

Model and solution for the traveling salesman problem with multiple time windows [PDF]

ITM Web of Conferences, 2022
This paper applies the multi-time window traveling salesman problem to not only optimize the logistics cost, but also effectively endow users with multiple discrete idle optional time periods to meet the time requirements of just-in-time production.
Zhang Xiaoling, Ni Yueli
doaj   +1 more source

A Simulated Annealing Algorithm for D-Optimal Design for 2-Way and 3-Way Polynomial Regression with Correlated Observations

Journal of Applied Mathematics, 2014
Much of the previous work in D-optimal design for regression models with correlated errors focused on polynomial models with a single predictor variable, in large part because of the intractability of an analytic solution.
Chang Li, Daniel C. Coster
doaj   +1 more source

Model Retrieval Based on Simulated Annealing Algorithm

Journal of Harbin University of Science and Technology, 2020
In order to retrieve the most similar CAD(Computer Aided Design) model from model library, simulated annealing algorithm is used to retrieve similar models.
GAO Xueyao, TAN Tao, ZHANG Chunxiang
doaj   +1 more source

A TSSA algorithm based approach to enhance the performance of warehouse system [PDF]

, 2008
In this plethora of increased competitiveness and globalization the effective management of the warehouse system is a challenging task. Realizing that proper scheduling of the warehouses is necessary to outperform the competitors on cost, lead time, and ...
Chan, Felix T.S., Kumar, Vikas
core   +1 more source

Sensor placement optimization of civil engineering structures using GA–SA algorithm [PDF]

Archives of Civil Engineering
Effectively and accurately obtaining the structure and status information of civil engineering by optimizing the configuration of sensors is the basis for the monitoring of civil engineering structures, and it is also the key content for subsequent ...
Feng Li, Binbin Shi
doaj   +1 more source

Constrained multi-global optimization using a penalty stretched simulated annealing framework [PDF]

, 2009
This paper presents a new simulated annealing algorithm to solve constrained multi-global optimization problems. To compute all global solutions in a sequential manner, we combine the function stretching technique with the adaptive simulated annealing
Ana I. Pereira, Ch. Tsitouras, Edite M. G. P. Fernandes, George Psihoyios, Theodore E. Simos   +4 more
core   +1 more source

Simulated Annealing Clusterization Algorithm for Studying the Multifragmentation

, 1998
We present the details of the numerical realization of the recently advanced algorithm developed to identify the fragmentation in heavy ion reactions.
Aichelin, Bauer, Begemann-Blaich, Bohnet, Dorso, Garcia, Gossiaux, Gossiaux, Gupta, Hartnack, Hubele, Hubele, Jaenicke, Joerg Aichelin, Kirkpatrick, Kumar, Kumar, Laarhoven, Metropolis, Phair, Puri, Puri, Puri, Puri, Rajeev K. Puri, Ramillein, Reisdorf, Schuttauf, Tsang   +28 more
core   +1 more source

Algoritma Simulated Annealing untuk Menentukan Rute Kendaraan Heterogen (Studi Kasus)

Jurnal Teknologi Informasi dan Ilmu Komputer, 2020
Permasalahan transportasi dalam supply chain management sangat penting untuk dikaji karena dapat menimbulkan biaya logistik yang sangat besar. Salah satu cara untuk mengurangi biaya transportasi adalah dengan penentuan rute kendaraan atau dikenal dengan
Andriansyah Andriansyah, Rizky Novatama, Prima Denny Sentia   +2 more
doaj   +1 more source

Generalized Simulated Annealing

, 1995
We propose a new stochastic algorithm (generalized simulated annealing) for computationally finding the global minimum of a given (not necessarily convex) energy/cost function defined in a continuous D-dimensional space.
Alemany, Andricioaei, Boghosian, Ceperley, Constantino Tsallis, Curado, Curado, Curado, Daniel A. Stariolo, Geman, Kaniadakis, Kirkpatrick, Mantegna, Metropolis, Miron, Mundim, Mundim, Penna, Penna, Penna, Press, Schulte, Stariolo, Szu, Tsallis, Tsallis, Tsallis, Tsallis, Tsallis, Zanette   +29 more
core   +1 more source