Journal Article10.1007/S00521-018-3905-3
A novel numerical optimization algorithm inspired from garden balsam
Shengpu Li,Shengpu Li,Yize Sun +2 more
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TL;DR: The garden balsam optimization algorithm proposed in this paper incorporates two different types of search processes and has a mechanism to maintain population diversity and is compared with some known meta-heuristic search algorithms.
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Abstract: This paper introduces a new evolutionary computing method inspired by the seed transmission process of garden balsam. Garden balsam, a beautiful and attractive flower, randomly ejects the seeds within a certain range by virtue of mechanical force originating from cracking of mature seed pods, which is different from natural expansion of most species of plants. The seeds scattered to suitable growth area will have greater reproductive capacity in the next generation, followed by iteration until the most suitable point for growth in a particular space is eventually found. This phenomenon can more intuitively show the process of searching the problem solution space in the optimization problem. The garden balsam optimization algorithm proposed in this paper incorporates two different types of search processes and has a mechanism to maintain population diversity. Through the optimization experiment on 24 constrained optimization problems, the results obtained by using this algorithm are compared with those of some known meta-heuristic search algorithms. The statistical analysis of the experimental results has been implemented by Friedman rank test and Holm–Sidak test. The comparison results verify the effectiveness of the algorithm.
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Citations
Constrained stochastic control of positive Takagi-Sugeno fuzzy systems with Markov jumps and its application to a DC-DC boost converter:
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Secured cross-layer cross-domain routing in dense wireless sensor network: A new hybrid based clustering approach
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Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system optimized by nature-inspired algorithms
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Principal Component Regression Analysis for lncRNA-Disease Association Prediction Based on Pathological Stage Data
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Multi-Objective Optimization Using Cooperative Garden Balsam Optimization with Multiple Populations
Xiaohui Wang,Shengpu Li +1 more
TL;DR: The hybridization of garden balsam optimization (GBO) is presented to solve multi-objective optimization, applying multiple populations for multiple objectives individually, to ensure the convergence of well-diversified Pareto regions.
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