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Flower pollination algorithm: a comprehensive review
M Abdel-Basset, LA Shawky - Artificial Intelligence Review, 2019 - Springer
Flower pollination algorithm (FPA) is a computational intelligence metaheuristic that takes its
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …
metaphor from flowers proliferation role in plants. This paper provides a comprehensive …
A comprehensive review of the flower pollination algorithm for solving engineering problems
Engineering optimization problems are often solved by using metaheuristic algorithms.
Flower pollination algorithm (FPA) is a nature-inspired metaheuristic algorithm and FPA …
Flower pollination algorithm (FPA) is a nature-inspired metaheuristic algorithm and FPA …
[کتاب][B] Metaheuristics and data clustering
In this Chapter, the initial Sects. 2.1–2.4 give detailed analysis on types of metaheuristics
namely Genetic Algorithm, Particle Swarm Optimization, Differential Evolution algorithm and …
namely Genetic Algorithm, Particle Swarm Optimization, Differential Evolution algorithm and …
Pairwise test data generation based on flower pollination algorithm
Owing to an exponential increase in computational time associated with increasing number
of system components, exhaustive testing is increasingly become impractical. Here, many …
of system components, exhaustive testing is increasingly become impractical. Here, many …
Review of modified and hybrid flower pollination algorithms for solving optimization problems
Flower pollination algorithm (FPA) is a nature-inspired meta-heuristics to handle a large
scale optimization process. This paper reviews the previous studies on the application of …
scale optimization process. This paper reviews the previous studies on the application of …
Nature-inspired optimization algorithms: research direction and survey
SR Kumar, KD Singh - arxiv preprint arxiv:2102.04013, 2021 - arxiv.org
Nature-inspired algorithms are commonly used for solving the various optimization
problems. In past few decades, various researchers have proposed a large number of …
problems. In past few decades, various researchers have proposed a large number of …
Inspirations from nature for meta-heuristic algorithms: A survey
Background: Nature-Inspired Algorithms (NIAs) are the most efficient way to solve advanced
engineering and real-world optimization problems. Since the last few decades, various …
engineering and real-world optimization problems. Since the last few decades, various …
Hybridization of the flower pollination algorithm—a case study in the problem of generating healthy nutritional meals for older adults
This chapter investigates the hybridization of the state-of-the-art Flower Pollination Algorithm
as a solution for improving its execution time and fitness value in the context of generating …
as a solution for improving its execution time and fitness value in the context of generating …
Applications of flower pollination algorithm in wireless sensor networking and image processing: a detailed study
In engineering, finding an optimal solution to a problem under highly complex constraints is
a very challenging task. Surprisingly, nature has always been playing an important role in …
a very challenging task. Surprisingly, nature has always been playing an important role in …
A novel homomorphic encryption and an enhanced DWT (NHE-EDWT) compression of crop images in agriculture field
VP Kulalvaimozhi, MG Alex, SJ Peter - Multidimensional Systems and …, 2020 - Springer
In the field of agriculture, image processing plays a significant role in which Image
compression and Encryption is the most important tool. Image processing provides …
compression and Encryption is the most important tool. Image processing provides …