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The Modified Differential Evolution Algorithm (MDEA)
2012Differential evolution (DE) is arguably one of the most powerful stochastic real-parameter optimization algorithms. DE has drawn the attention of many researchers resulting in a lot of variants of the classical algorithm with improved performance. This paper presents a new modified differential evolution algorithm for minimizing continuous space.
Fatemeh Ramezani, Shahriar Lotfi
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Intermediate Population Based Differential Evolution Algorithm
2011In the present paper propose two novel variants of Differential Evolution (DE), named IP-OBL and IP-NSDE, have been proposed. In IP-OBL the initial population is generated by using the intermediate positions between the uniformly generated random numbers and opposition based numbers.
Tarun Kumar Sharma, Millie Pant
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Differential Evolution Algorithm for Motion Estimation
2011Motion Estimation (ME) is computationally expensive step in video encoding. Exhaustive search technique for ME yields maximum accuracy at the cost of highest execution time. To overcome the computational burden, many fast search algorithms are reported that limit the number of locations to be searched.
Samrat L. Sabat +2 more
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Convergent Stochastic Differential Evolution Algorithms
International Journal of Hybrid Information Technology, 2016Liang Sun, Hongwei Ge, Limin Wang
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The Arithmetic Optimization Algorithm
Computer Methods in Applied Mechanics and Engineering, 2021Laith Mohammad Abualigah +2 more
exaly
Feature Extraction with Differential Evolution Algorithm
2023 International Conference on Information Technology (ICIT), 2023Salam Hamdan +4 more
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