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Variant of Differential Evolution Algorithm
2017Differential evolution is a nature-inspired optimization technique. It has achieved best solutions on large area of test suits. DE algorithm is efficient in programming and it has broad applicability in engineering. This paper presents modified mutation vector generation strategy of basic DE for solving stagnation problem. A new variant of differential
Richa Shukla +4 more
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Online algorithm configuration for differential evolution algorithm
Applied Intelligence, 2022Changwu Huang, Hao Bai, Xin Yao
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Differential Evolution Algorithm: Foundations and Perspectives
2009Differential Evolution (DE) has recently emerged as simple and efficient algorithm for global optimization over continuous spaces.DE shares many features of the classical Genetic Algorithms (GA). But it is much easier to implement than GA and applies a kind of differential mutation operator on parent chromosomes to generate the offspring.
Swagatam Das, Ajith Abraham, Amit Konar
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Relaxed Differential Evolution Algorithm
2023Prometeo Cortés-Antonio +3 more
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Differential Evolution Algorithm: Recent Advances
2012Differential Evolution (DE) has been a competitive stochastic realparameter optimization algorithm since it was introduced in 1995. DE possesses computational steps similar to a standard Evolutionary Algorithm (EA). DE perturbs the population members with the scaled differences of distinct population members.
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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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