Titlebook: Socio-cultural Inspired Metaheuristics; Anand J. Kulkarni,Pramod Kumar Singh,Kang Tai Book 2019 Springer Nature Singapore Pte Ltd. 2019 So

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A Self-organizing Multi-agent Cooperative Robotic System: An Application of Cohort Intelligence Algnt to search and rescue in alien territory as well as establishment. The robots are considered as candidates in the CI algorithm. An exponential probability approach is proposed by which every candidate/robot decide to follow one another. In this approach, the probability of following the worse cand

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Elitist TLBO for Identification and Verification of Plant Diseases, vegetation is shrinking. Early detection of diseases by processing the image of the leaf can be rewarding and helpful in making our environment healthier and green. Data clustering is an unsubstantiated learning technology where pattern recognition is used extensively to identify diseases in plants

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Simultaneous Size and Shape Optimization of Dome-Shaped Structures Using Improved Cultural Algorithis modeled based on the biocultural evolution, in which genes and culture are two interacting forms of inheritance. CA consists of the belief and population spaces. As a cultural inheritance mechanism, the belief space shares the cultural information among the individuals of the population space to

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A Socio-based Cohort Intelligence Algorithm for Engineering Problems,cessible search space is very limited which may increase the complexity of problems. To solve such problems, traditional optimization methods such as Newton’s method, Newton–Raphson method, Gradient methods, etc. are unable to work efficiently. In order to overcome this limitation, various bio-based

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,Solution to Small Size 0–1 Knapsack Problem Using Cohort Intelligence with Educated Approach,o the maximum total capacity. These problems were handled by several classical approaches but they were unable to produce exact solutions in polynomial time. This task could be efficiently accomplished using heuristic algorithms. Cohort intelligence algorithm is inspired from the natural inclination

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Expectation Algorithm (ExA): A Socio-inspired Optimization Methodology,. The ExA modelled the variables of the problems as individuals of a society. The variables select their values by expecting the values of the other variables minimizing the objective function. The performance of the algorithm is validated by solving 50 unconstrained test problems with dimensions up