Improving Flower Pollination Algorithm for Solving 0–1 Knapsack Problem

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چکیده

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Global optimization methods play an important role to solve many real-world problems. Flower pollination algorithm (FP) is a new nature-inspired algorithm, based on the characteristics of flowering plants. In this paper, a new hybrid optimization method called hybrid flower pollination algorithm (FPPSO) is proposed. The method combines the standard flower pollination algorithm (FP) with the par...

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The prime aspect of solving Optimal Reactive Power Dispatch Problem (ORPD) is to minimize the real power loss and also to keep the voltage profile within the limits. For any metaheuristic search algorithm, it is very significant to poise exploration and exploitation because the communication of these two key mechanisms can drastically affect the efficiency of the search. To explore this challen...

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Flower pollination is an intriguing process in the natural world. Its evolutionary characteristics can be used to design new optimization algorithms. In this paper, we propose a new algorithm, namely, flower pollination algorithm, inspired by the pollination process of flowers. We first use ten test functions to validate the new algorithm, and compare its performance with genetic algorithms and...

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An Estimation of Distribution Algorithm for solving the Knapsack problem

The knapsack problem, a NP-hard problem, has been solved by different ways during many years. However, its combinatorial nature is still interesting for many academics. In this paper, an Estimation of Distribution Algorithm is applied for solving the Knapsack problem. KEDA for simplicity is called. It contains a probabilistic model of type chain for sampling new offsprings to solve the problem....

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ژورنال

عنوان ژورنال: Journal of Physics: Conference Series

سال: 2021

ISSN: 1742-6588,1742-6596

DOI: 10.1088/1742-6596/1879/2/022097