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Everything about Fly algorithm
The Fly Algorithm is an approach in 3D reconstruction that utilizes clusters of points ("flies") corresponding to different nearby objects via genetic algorithms and stereovision principles. The resulting reconstruction is partial, but can be used to recognize obstacles in robot navigation and other applications. This technique has a high computational load due to numerous inputs and parameters, making performance optimization difficult. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Fly algorithmA 5-minute orientation
- Skim a recent paper: Spot-out fruit fly algorithm with simulated annealing optimized SVM for detecting tomato plant diseasesInfluential work since 2022
- Pick up a classic book: GLAS spacecraft pointing studyThe most-reprinted book on the subject
- Read the landmark paper: Chaotic fruit fly optimization algorithmCited 169 times
- Go sideways: Genetic algorithmA closely related topic
- Go sideways: Evolutionary algorithmA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Chaotic fruit fly optimization algorithm
Quantum Fruit Fly algorithm and ResNet50-VGG16 for medical diagnosis
A cloud model based fruit fly optimization algorithm
A novel multi-scale cooperative mutation Fruit Fly Optimization Algorithm
Rationalized fruit fly optimization with sine cosine algorithm: A comprehensive analysis
Twin support vector machines based on fruit fly optimization algorithm
Identification of dynamic protein complexes based on fruit fly optimization algorithm
Skin lesion segmentation using k-mean and optimized fire fly algorithm
🆕 Influential since 2022
Spot-out fruit fly algorithm with simulated annealing optimized SVM for detecting tomato plant diseases
Hybrid collaborative multi-objective fruit fly optimization algorithm for scheduling workflow in cloud environment
A novel adaptive lateral reentry guidance algorithm with complex distributed no-fly zones constraints
A systematic review on fruit fly optimization algorithm and its applications
Optimum deployment of sensor nodes in wireless sensor network using hybrid fruit fly optimization algorithm and bat optimization algorithm for 3D Environment
📚 Books worth reading
- 📕GLAS spacecraft pointing studyGeorge H. Born · 1998
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Genetic algorithm A genetic algorithm (GA) is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms (EA)…
- Evolutionary algorithm Evolutionary algorithms (EA) reproduce essential elements of biological evolution in a computer algorithm in order to solve "difficult" problems, at least…
- Evolutionary computation Evolutionary computation (EC) from computer science is a family of algorithms for global optimization inspired by biological evolution, and a subfield…
- Genetic programming Genetic programming (GP) is an evolutionary algorithm, an artificial intelligence technique mimicking natural evolution, which operates on a population…
- Premature convergence Premature convergence is an unwanted effect in evolutionary algorithms (EA), a metaheuristic that mimics the basic principles of biological evolution as…
- Evolution strategy In computer science, evolution strategy (ES) is a subclass of evolutionary algorithms, which serves as an optimization technique. It uses the major genetic…
- Dispersive flies optimisation Dispersive flies optimisation (DFO) is a bare-bones swarm intelligence algorithm which is inspired by the swarming behaviour of flies hovering over food…
- Memetic algorithm In computer science and operations research, a memetic algorithm (MA) is an extension of an evolutionary algorithm (EA) that aims to accelerate the evolutionary…