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MetaDE: Evolving Differential Evolution by Differential Evolution [PDF]
Accepted by IEEE ...
Minyang Chen +2 more
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Adaptive Inflationary Differential Evolution [PDF]
In this paper, an adaptive version of Inflationary Differential Evolution is presented and tested on a set of real case problems taken from the CEC2011 competition on realworld applications. Inflationary Differential Evolution extends standard Differential Evolution with both local and global restart procedures. The proposed adaptive algorithm utilizes
Minisci, Edmondo, Vasile, Massimiliano
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Utility of a Shuffled Differential Evolution algorithm in designing of a Pi-Sigma Neural Network based predictor model [PDF]
Since the last few decades, Artificial Neural Networks have been the center of attraction of a large number of researchers for solving diversified problem domains.
Rajashree Dash +2 more
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A Stigmergy-Based Differential Evolution
Metaheuristic algorithms are techniques that have been successfully applied to solve complex optimization problems in engineering and science. Many metaheuristic approaches, such as Differential Evolution (DE), use the best individual found so far from ...
Valentín Osuna-Enciso +1 more
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Learning Adaptive Differential Evolution Algorithm From Optimization Experiences by Policy Gradient [PDF]
Differential evolution is one of the most prestigious population-based stochastic optimization algorithm for black-box problems. The performance of a differential evolution algorithm depends highly on its mutation and crossover strategy and associated ...
Jianyong Sun +3 more
semanticscholar +1 more source
Modular Differential Evolution
New contributions in the field of iterative optimisation heuristics are often made in an iterative manner. Novel algorithmic ideas are not proposed in isolation, but usually as an extension of a preexisting algorithm. Although these contributions are often compared to the base algorithm, it is challenging to make fair comparisons between larger sets of
Diederick Vermetten +3 more
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Differential Evolution and Engineering Problems
In this paper, the performance of the Differential Evolution algorithm is evaluated when solving real-world problems. A Set of 13 engineering optimisation problems was selected from the fields of mechanics and industry to illustrate the usability of the
Petr Bujok +2 more
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Improved differential evolution algorithms for solving multi-stage crop planning model in southern region of Thailand [PDF]
This paper presents algorithms based on Differential Evolution and Improved Differential Evolution for solving a multistage crop planning problem in southern region of Thailand to maximize the profit.
Phajongjit Pijitbanjong +3 more
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Differential evolution: A recent review based on state-of-the-art works
Differential evolution (DE) is a popular evolutionary algorithm inspired by Darwin’s theory of evolution and has been studied extensively to solve different areas of optimisation and engineering applications since its introduction by Storn in 1997.
Mohamad Faiz Ahmad +3 more
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Differential Evolution with DEoptim [PDF]
The R package DEoptim implements the Differential Evolution algorithm. This algorithm is an evolutionary technique similar to classic genetic algorithms that is useful for the solution of global optimization problems. In this note we provide an introduction to the package and demonstrate its utility for financial applications by solving a non-convex ...
Ardia, David +4 more
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