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Constrained evolution algorithm based on adaptive differential evolution
International Journal of High Performance Computing and Networking, 2018Solving constrained optimisation is widely used in science and engineering, but the slow convergence speed and premature are the biggest problems researchers face. Research on a constrained evolution algorithm (CO-JADE) based on adaptive differential evolution (JADE) for solving the constrained optimisation problems is proposed in this paper. According
Kangshun Li +3 more
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A hybrid simplex differential evolution algorithm
2010 Chinese Control and Decision Conference, 2010According to the disadvantage of slow convergence rate of the basic differential evolution (DE) algorithm, a hybrid optimization algorithm incorporated Nelder & Mead (NM) simplex method into the basic DE algorithm is presented in this paper. This hybrid procedure performed the exploration with DE and the exploitation with the NM simplex method ...
Lianghong Wu +3 more
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Taguchi-enhanced binary differential evolution algorithm
2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2017This paper proposed an improved binary differential evolution (BDE) algorithm based on a Taguchi approach (Taguchi-BDE) for optimization problems. An estimation operator with efficient probability was adopted to preserve the diversity of populations and enhance the global search ability in Taguchi-BDE, and the Taguchi approach was used to optimize ...
Cheng-Hong Yang +2 more
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Differential evolution algorithms using hybrid mutation
Computational Optimization and Applications, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kaelo, P., Ali, M. M.
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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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