Adaptive Differential Evolution Algorithm based on Gradient and Polar Coordinates Search Strategies

被引：1
|
作者：
Yang, Jun [1 ]
Wei, Jingxuan [1 ]
Liu, Jiang [1 ]
机构：
[1] Xidian Univ, Sch Comp Sci & Technol, Xian 710071, Shaanxi, Peoples R China
来源：
2015 11TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS) | 2015年
关键词：
differential evolution algorithm; gradient descent; polar coordinates; GLOBAL OPTIMIZATION;
D O I：
10.1109/CIS.2015.74
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Adaptive differential evolution algorithm based on gradient and polar coordinates search strategies (ADE) is proposed in this paper. In order to improve the precision of solutions, gradient and polar coordinates search strategies are introduced. Since the gradient search strategy generates offsprings using the derivative definition, it will accelerate the convergence speed. Polar coordinates search strategy can help the algorithm jump out of the local optimization and avoid continuously searching in wrong direction. The simulation results show that the proposed algorithm has better results compare to SaDE, NSDE and CMAES for benchmark functions 1 similar to 14 in CEC2005.
引用
收藏
页码：274 / 277
页数：4
相关论文
共 50 条
  • [31] Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient
    Sun, Jianyong
    Liu, Xin
    Back, Thomas
    Xu, Zongben
    IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2021, 25 (04) : 666 - 680
  • [32] Adaptive differential search algorithm with multi-strategies for global optimization problems
    Chu, Xianghua
    Gao, Da
    Chen, Jiansheng
    Cui, Jianshuang
    Cui, Can
    Xu, Su Xiu
    Qin, Quande
    NEURAL COMPUTING & APPLICATIONS, 2019, 31 (12): : 8423 - 8440
  • [33] Adaptive differential search algorithm with multi-strategies for global optimization problems
    Xianghua Chu
    Da Gao
    Jiansheng Chen
    Jianshuang Cui
    Can Cui
    Su Xiu Xu
    Quande Qin
    Neural Computing and Applications, 2019, 31 : 8423 - 8440
  • [34] Adaptive Differential Evolution with Directional Information Based Search Moves
    Neogi, Satyajit
    Das, Deblina
    Das, Swagatam
    SWARM, EVOLUTIONARY, AND MEMETIC COMPUTING, (SEMCCO 2012), 2012, 7677 : 433 - 441
  • [35] A Fast and Adaptive Search Algorithm Based on Rood Pattern and Gradient Descent
    Lin, Mu-Long
    Yi, Qing-Ming
    Shi, Min
    2012 INTERNATIONAL CONFERENCE ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING (ICMPBE2012), 2012, 33 : 1526 - 1532
  • [36] Parameter and strategy adaptive differential evolution algorithm based on accompanying evolution
    Wang, Minghao
    Ma, Yongjie
    Wang, Peidi
    INFORMATION SCIENCES, 2022, 607 : 1136 - 1157
  • [37] SaDENAS: A self-adaptive differential evolution algorithm for neural architecture search
    Han, Xiaolong
    Xue, Yu
    Wang, Zehong
    Zhang, Yong
    Muravev, Anton
    Gabbouj, Moncef
    SWARM AND EVOLUTIONARY COMPUTATION, 2024, 91
  • [38] Opposition Based Levy Flight Search in Differential Evolution Algorithm
    Kumar, Sandeep
    Sharma, Vivek Kumar
    Kumari, Rajani
    Sharma, Vishnu Prakash
    Sharma, Harish
    2014 INTERNATIONAL CONFERENCE ON SIGNAL PROPAGATION AND COMPUTER TECHNOLOGY (ICSPCT 2014), 2014, : 361 - 367
  • [39] Natural Gradient Evolution Strategies for Adaptive Sampling
    Ronoh, Nixon
    Milgo, Edna
    Kiprop, Ambrose
    Manderick, Bernard
    Nowe, Ann
    PROCEEDINGS OF THE 2022 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION, GECCO 2022, 2022, : 73 - 74
  • [40] A self-adaptive differential evolution algorithm with multiple strategies and its application
    Xu B.
    Tao L.
    Cheng W.
    Huagong Xuebao, 12 (5190-5198): : 5190 - 5198
12345