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Algorithms Behind Space Missions ~xRay Pixy

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Learn different algorithms used in Space Missions. Video Link Video Chapters: Algorithms Behind Space Missions 00:00 Introduction 00:52 Space Missions 04:26 Space Missions Challenges 07:04 Algorithms Used in Space Missions 10:36 Optimization Techniques 11:44 Conclusion  NASA conducts space missions to explore the universe for various scientific, technological, and practical reasons: Understanding Our Place in the Universe Search for Life Beyond Earth Studying Earth from Space Advancing Technology Supporting Human Exploration Resource Utilization Inspiring Humanity Examples of NASA Space Missions Apollo Program: Sent humans to the Moon (1969–1972). Mars Rovers (Spirit, Opportunity, Perseverance): Explored Mars' surface and geology. Voyager Missions: Studied the outer planets and interstellar space. Hubble Space Telescope: Captured breathtaking images of the universe. International Space Station (ISS): Supports research in microgravity and international collaboration. Different ...

What is a meta heuristic algorithm for?

  Metaheuristic  means a High-level problem-independent algorithmic framework that is developed for the optimization algorithm. Metaheuristic algorithms  find the best solution out of all possible solutions of an optimization. I discussed some Meta-heuristic algorithm like: Grey Wolf Optimization (GWO) Algorithm:  GWO is a metaheuristic proposed by Mirjaliali Mohammad and Lewis, 2014. GWO is inspired by the social hierarchy and the hunting technique of Grey Wolves Bat Algorithm:  The  Bat algorithm  is a metaheuristic algorithm for global optimization. It was inspired by the echolocation behavior of microbats. Cuckoo Search Algorithm: Cuckoo Search is a n ature-inspired  algorithm , based on the brood reproductive strategy of cuckoo birds to increase their population. Meta-heuristic Algorithms
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