Comparative study and analysis of innovative approaches in financial assets identical allocation and genetic algorithm implications

The financial data characteristically formed with series of cost, prices, bid, asset, ask, volume, element, time, date and so on. In financial, trading, asset distribution fields, the various levels and kinds of averages can be derived for representing form based indicators. There are no much definitive prescription on how to build a successful trading model and how to define the indicators for understanding banking organisations, financial based markets, trading industries. Some of the auto tuning search mechanism and optimization based techniques for understanding the financial situations. Financial optimization problem has become a standard financial engineering problem. Banking and industrial organisations are more profitable when they have the main goals to discover the best possible allocation of capital based assets between along with a set of possible and flexible assets by concurrently reducing the risk factors and improving the return of the financial-investments. Asset gathering is easy task than the distributing concern asset equally to required sectors for more profitable. Soft computing technology tools such as neural networks, fuzzy inference based system, genetic based algorithms are suitable for solvating the uncertainty problems in financial based asset distribution values. Genetic based algorithms implications are most useful for complex based problems such as asset equal distribution in finance based organisations like as banking, year wise budgets and so on. Genetic algorithm stages are more effective in asset distribution because of the initial population will be eliminated when new active generation has been invented and treated it as the basic element of future generation. The progression of reproduction, crossover and mutation implemented, repeated and finally future generations progress. This total procedure holds the relationship between estimation of nature and the algorithm. Most of the financial based companies, industries and banking sectors are puzzled in their financial transitions for distributing assets. This paper proposed the tabular form of comparative analysis and detail description of past designed innovative approaches for financial assets with equal distributions. This tabular and graphical form of analysis can help the banking, industry, government budget issue to equally distribute the capital asset values for various levels of industry needs and service cum profit modes.