Design and Simulation DES Algorithm of Encryption for.
Literature Survey on Research and Application of Bat Algorithm XU Degang, ZHAO Ping 1.School of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China 2.Key Laboratory of Grain Information Processing and Control.
Bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last.
SHENG Xiaohua,YE Chunming. Research of bat algorithm for disruption management on PFSP scheduling(J). CEA, 2014, 50(8): 241-246. SHENG Xiaohua,YE Chunming. Research of bat algorithm for disruption management on PFSP scheduling(J). CEA.
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To solve this problem, an adaptive bat algorithm is proposed to optimize the observation matrix in this paper. For the adaptive bat algorithm, we design a dynamic adjustment strategy of the.
This method is vast research area in the field of data mining. In this paper, a partitioning clustering method that is K-Medoids algorithm is used with Bat algorithm. We proposed a new algorithm based on the echolocation behaviour of bats to know the initial value to overcome the K-Medoids issues.
Advanced Encryption Standard (AES) algorithm is one of the most common and widely used symmetric block cipher algorithm. This algorithm has its own particular structure to encrypt and decrypt sensitive data and is applied in hardware and software.
Research on crowd evacuation in emergencies can provide effective evacuation strategies and improve public safety, which is of great research significance. According to the description scale of the model,. In this paper, a new intelligent algorithm Bat Algorithm is adopted.
Bat algorithm for vehicle routing problem of logistics distribution with time windows MA Xiangli, ZHANG Huizhen, MA Liang School of Management, University of Shanghai for Science and Technology, Shanghai 200093, China.
Adequate planning and right decision making in the energy sector lies on accurate forecasts of the load demand. In this paper, Artificial Neural Network (ANN) trained via Bat algorithm was employed for short term load projection of University of Ibadan, Nigeria. Daily load demand of the study area was obtained from the log records.
Bat algorithm (BA) is a bio-inspired algorithm developed by Xin-She Yang in 2010 and BA has been found to be very efficient. As a result, the literature has expanded significantly in the last three years. This paper provides a timely review of the bat algorithm and its new variants. A wide range of diverse applications and case studies are also reviewed and summarised briefly here. In addition.
Metaheuristic algorithms such as particle swarm optimization, mremy algorithm andharmony search are now becoming powerful methods for solving many tough optimization problems. In this paper, we propose a new metaheuristic method, the Bat Algo-rithm, based on the echo location behaviour of bats. We also intend to combine theadvantages of existing algorithms into the new bat algorithm.
All these algorithms extract the swarm intelligence from the laws of biological systems in nature. However, to learn from the nature for developing a better algorithm is still in progress. In this paper, a new bio-inspired optimization algorithm, namely Chicken.
