The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents a novel differential evolution (DE) algorithm for solving global optimization problems by developing a combined local mutation strategy and a restart mechanism. To alleviate the premature convergence and stagnation, a combined local mutation strategy is first developed to improve the exploitation of DE by using two local mutation strategies. Then, a new restart mechanism is proposed...
In order to explore and extend the ability and application of Differential Evolution (DE), a Contribution-guided Discrete Differential Evolution (C-DDE) is proposed in this paper for the Quadratic Multiple Knapsack Problem (QMKP), which is a challenging combinatorial optimization problem with NP-Hard and a number of applications. C-DDE extends the traditional standard DE by adopting a novel hybrid...
Inspired by Gaussian barebones differential evolution (GBDE), this study attempts to propose a new Gaussian mutation strategy, termed by GBDE/best-rand, to improve the solution accuracy. This study also proposes a hybrid crossover strategy, the hybridization of the binomial and arithmetic crossover strategies, for differential evolution (DE) to further balance the global search ability and convergence...
Differential evolution (DE) is a very simple and effective stochastic search algorithm, which obtains various performances with different parameter and searching strategy configurations. DE with an individual-dependent mechanism (IDE) is a recently proposed DE variant, which includes an individual-dependent parameter (IDP) setting method and an individual-dependent mutation (IDM) strategy. In this...
Differential evolution (DE) has been proven to be a simple and powerful evolutionary algorithm, and obtains many successful applications in scientific and engineering fields. The mutation strategy plays the key role in DE for finding global optimal solutions. In most of the DE algorithms, the base and difference vectors are randomly selected from the current population. Furthermore, both the neighborhood...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.