A novel modified flower pollination algorithm for global optimization

Optimal Reservoir of Small Reservoirs by Optimization Techniques on Reservoir Simulation Model

“…Curves. e concept of FPA was inspired by the nature of flower pollination, which has four rules of conduct: (i) global pollination consists of live pollination and cross pollination in which the pollen has a movement pattern that follows Levy flight, (ii) local pollination is considered as self-pollination and abiotic pollination, (iii) the stability of flowers by pollinators is equivalent to the reproduction probability, which is proportional to the similarity of the two flowers involved in the pollination process, and, (iv) the interaction of global and local pollination can be controlled by the alternation probability [42].…”

Comparison and Ranking of Metaheuristic Techniques for Optimization of PI Controllers in a Machine Drive System

“…In [31], the pollination process is replaced by the generation during each iteration of a set of complete random orientations under conditions similar to FPA [43]. The main objective of MOD-FPA is to improve the performance of FPA in terms of intensification, diversification, and speed of convergence properties.…”

“…The MOD-FPA has been proposed to use a solution vector x t+1 i generated N p pairs of pollen lists extracted from different flowers of the same plants species, each iteration either using global or local pollination. This presents significant improvements to the FPA basic version in terms of found solutions quality [31]. The N p (x t j − x t k ) terms can be generated using successively N p pairs of pollen determined at each new iteration t. However, it is important to note that each generated complete orientation is associated with a pair of pollen gametes lists.…”

“…The flow chart of MOD-FPA algorithm is shown in Figure 2. A detailed description of these processes is presented in [31]. Figure 2.…”

“…The six nature-inspired algorithms such as whale, moth-flame, flower pollination, dragonfly, cuckoo search, and modified flower pollination are compared in order to show which of them are the best to work with the same population sizes and generation numbers. This proposal uses six nature-inspired algorithms to search optimal values of a regulatory scheme for robust tracking tasks of desired velocity profiles of a PMSM [31]. This evolutionary technique is applied on one objective/fitness function to find an optimal solution that minimizes the overall error.…”