{"id":55485,"date":"2023-08-28T15:53:59","date_gmt":"2023-08-28T15:53:59","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ccs357-optimization-techniques-syllabus-for-aids-2021-regulation-professional-elective-vii\/"},"modified":"2023-08-28T15:53:59","modified_gmt":"2023-08-28T15:53:59","slug":"ccs357-optimization-techniques-syllabus-for-aids-2021-regulation-professional-elective-vii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ccs357-optimization-techniques-syllabus-for-aids-2021-regulation-professional-elective-vii\/","title":{"rendered":"CCS357: Optimization Techniques syllabus for AI&DS 2021 regulation (Professional Elective-VII)"},"content":{"rendered":"

Optimization Techniques detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the AI&DS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Artificial Intelligence & Data Science 6th Sem scheme and its subjects, do visit AI&DS 6th Sem 2021 regulation scheme<\/a>. For Professional Elective-VII scheme and its subjects refer to AI&DS Professional Elective-VII syllabus scheme<\/a>. The detailed syllabus of optimization techniques is as follows. <\/p>\n

Course Objectives:<\/h4>\n

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Unit I<\/h4>\n

INTRODUCTION
\nOptimization Techniques: Introduction to Optimization Problems – Single and Muti- objective Optimization – Classical Techniques – Overview of various Optimization methods – Evolutionary Computing: Genetic Algorithm and Genetic Programming: Basic concept – encoding -representation – fitness function – Reproduction – differences between GA and Traditional optimization methods – Applications – Bio- inspired Computing (BIC): Motivation – Overview of BIC – usage of BIC – merits and demerits of BIC.\n<\/p>\n

Unit II<\/h4>\n

SWARM INTELLIGENCE
\nIntroduction – Biological foundations of Swarm Intelligence – Swarm Intelligence in Optimization -Ant Colonies: Ant Foraging Behavior – Towards Artificial Ants – Ant Colony Optimization (ACO) -S-ACO – Ant Colony Optimization Metaheuristic: Combinatorial Optimization – ACO Metaheuristic – Problem solving using ACO – Other Metaheuristics – Simulated annealing – Tabu Search -Local search methods – Scope of ACO algorithms.\n<\/p>\n

Unit III<\/h4>\n

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Unit IV<\/h4>\n

SWARM ROBOTICS
\nForaging for food – Clustering of objects – Collective Prey retrieval – Scope of Swarm Robotics -Social Adaptation of Knowledge: Particle Swarm – Particle Swarm Optimization (PSO) – Particle 164
\nSwarms for Dynamic Optimization Problems – Artificial Bee Colony (ABC) Optimization biologically inspired algorithms in engineering.\n<\/p>\n

Unit V<\/h4>\n

CASE STUDIES
\nOther Swarm Intelligence algorithms: Fish Swarm – Bacteria foraging – Intelligent Water Drop Algorithms – Applications of biologically inspired algorithms in engineering. Case Studies: ACO and PSO for NP-hard problems – Routing problems – Assignment problems – Scheduling problems – Subset problems – Machine Learning Problems – Travelling Salesman problem.\n<\/p>\n

Course Outcomes:<\/h4>\n
    \n
  1. Familiarity with the basics of several biologically inspired optimization techniques.<\/li>\n
  2. Familiarity with the basics of several biologically inspired computing paradigms.<\/li>\n
  3. Ability to select an appropriate bio-inspired computing method and implement for any application and data set.<\/li>\n
  4. Theoretical understanding of the differences between the major bio-inspired computing methods.<\/li>\n
  5. Learn Other Swarm Intelligence algorithms and implement the Bio-inspired technique with other traditional algorithms.<\/li>\n<\/ol>\n

    Text Books:<\/h4>\n

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    Reference Books:<\/h4>\n
      \n
    1. Eric Bonabeau, Marco Dorigo, Guy Theraulaz, \u201cSwarm Intelligence: From Natural to Artificial Systems\u201d, Oxford University press, 2000.<\/li>\n
    2. Christian Blum, Daniel Merkle (Eds.), \u201cSwarm Intelligence: Introduction and Applications\u201d, Springer Verlag, 2008.<\/li>\n
    3. Leandro N De Castro, Fernando J Von Zuben,\t\u201cRecent Developments in Biologically Inspired Computing\u201d, Idea Group Inc., 2005.<\/li>\n
    4. Albert Y.Zomaya, “Handbook of Nature-Inspired and Innovative Computing”, Springer, 2006.<\/li>\n
    5. C. Ebelhart et al., \u201cSwarm Intelligence\u201d, Morgan Kaufmann, 2001.<\/li>\n<\/li>\n<\/ol>\n

      For detailed syllabus of all the other subjects of Artificial Intelligence & Data Science 6th Sem, visit AI&DS 6th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

      For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

      Optimization Techniques detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&DS students. […]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[144],"tags":[],"class_list":["post-55485","post","type-post","status-publish","format-standard","hentry","category-aids"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55485","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=55485"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55485\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=55485"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=55485"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=55485"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}