PhD Dissertation Editing Help - DISSERTATION ALGORITHM DEVELOPMENT TIPS FOR DEVELOPING Lion Optimiza

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Research paper

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LION OPTIMIZATION ALGORITHM Where and How it is able to solve complicated optimization problems?

Dissertation Algorithm Development Ideas from Existing Recent Research Gaps in Computer Science Engineering Domain

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Phd Lab @ Phd Assistance Engineering & Technology (E&T) Lab at PhdAssistance is involved in exploring novel research areas by conducting dynamic research. It promotes innovation in all fields of engineering by advancing the technology with structured and continuous research. The problems and challenges faced by the existing technologies and trends are explored by our researchers exists in scholarly literature, in theory, or in practices that needs deliberate investigation. These problems are identified and fixed by our researchers by suggesting better novel alternatives with appropriate tools, technologies and approaches, thereby proving their effectiveness in real time applications.

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SHORT NOTES You will find the best dissertation research areas / topics for future researchers enrolled in Engineering. In order to identify the future research topics, we have reviewed the Engineering literature (recent peer-reviewed studies) on the AI in optimization problems Nature-Inspired Optimization Algorithm is the recent trend in machine learning. Lion Optimization Algorithm (LOA) is one of Nature-Inspired Optimization Algorithm. LOA is also one of the types of metaheuristic algorithms LOA is used to solve complex engineering optimization problems.

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BACKGROUND Over the past decade, several metaheuristic algorithms are developed and most of the metaheuristic algorithms are built by the influence of nature. The nature-inspired metaheuristic algorithms are used to solve complex optimisation problems in engineering. One of the optimization algorithms named the LOA is explored in this blog. The LOA developed based on Lion's distinct lifestyle, population and character of cooperation. The Lion optimization algorithm used to solve engineering optimisation problems. PhD Assistance develop ML algorithms using Python, Hadoop framework and many more to booth secure access control in Networking platforms. Hiring our experts, you are assured with quality and on-time delivery.

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LION SOCIAL BEHAVIOURS The first social organisation behaviour of the lion is, the young males are removed from their birth pride when they are physically matured. The males who were removed from their maternal pride are more likely to see pairs. Several lionesses operate together and surround the prey from various points and catch the target with a swift assault. Lions will mate the female lion at any time of the year, and females are polyestrous. Whereas, when female lion is in heat, it mates with multiple partners. In general, the male and female lion mark their boundaries.

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LION SOCIAL BEHAVIOURS

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LION OPTIMIZATION ALGORITHM In the Lion optimization algorithm mathematical model is developed based on the lion’s behaviours. These behaviours are modelled mathematically and the optimisation algorithm is designed. The best solution in past iterations is called the best-visited position for each lion and is gradually revised during the optimization process. The pride territory is a region consisting of the best position visited by each member. A nomad lion moves in the search space randomly to discover a stronger place (solution). The weakest lion will be killed because of many factors like lack of food and competition. The process continues until the stopping condition is satisfied that is until the best solution is found by LOA.

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Migration and Lion’s Population Equilibrium

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CONCLUSIONS Numerous metaheuristic optimization algorithms were developed over the past decades. Many of these algorithms take their inspiration from natural phenomena. LOA mathematical model is built on the basis of the lion's solitary and cooperative behaviours. LOA used to solve engineering optimization problems like data clustering, neural networks tuning, scheduling problems, pattern recognition, image processing and video processing.

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FUTURE SCOPES

Can be used in Double-layer Barrel Vaults optimal layout. Can be used for the annual prediction of electricity usage.

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