There are manytypesof computational techniques like deterministic, evolutionary and random.
Evolutionary techniques are also recognized as the technique which has been inspired by nature as these kinds
of techniques have taken the concept from nature.
Genetic algorithm (GA) is one of the most frequently utilized evolutionary techniques which is utilized to solve
different NP-hard computational problems. The base of Genetic Algorithm is the principle of human genetic.
Earlier research presented that it was one of the most successfully used technique to answer the different
problems from the domain of Computer Science viz. task scheduling, software cost estimation, image
processingand query optimizationetc. In this paper, an effort is used to study the application of Genetic
Algorithm in Distributed Computing, Query Optimization, Software Engineering, and Machine Learning.
In this paper, there are two High Pressure Heaters (HPH) were out of service due to lake of
maintenance. According to this issue, the unit efficiency decreased which consumed more fuel to compensate the
temperature drop. During water circulating in a condensate water system there are heat waste, temperature
drop, low performance and poor quantity of heat transfer which will cause an insufficient efficiency due to High
Pressure Heaters (HPH) are not working properly.
To remedy this issue, we study and focused on how efficiency can be improved when high pressure heaters in
service and compare the results between the two situations in and out of service by calculate different
parameters; TGHR, TNHR, Boiler efficiency and NUHR. Fuel cost effectiveness studied in this paper at
maximum heat rate difference 11.8 kJ/ kWh.