Few attempts have been made on optimizing both decision variables for maximizing the network coverage and lifetime objectives, even though, most of the latter studies consider the two objectives individually.
In the literature, no attempts have been made on optimizing both decision variables for maximizing the network coverage and lifetime objectives, while maintaining the connectivity constraint, at the same time.
An emerging literature is reviewed elsewhere on metastasis studies to the bone [ 6, 7], and attempts have been made to optimize models for breast cancer metastasis to the brain [ 8, 9] and other sites [ 10].
An attempt has been made to optimize the conditions for electrospinning and electropolymerization to obtain uniform and continuous nanoscale fibers with good electrical conductivity.
As such, considerable effort has been made to optimize bacterial hosts for antibody and antibody fragment expression.
Several attempts have been made to optimize culture conditions for chicken adipocyte differentiation, such as the supplement of chicken serum, fatty acids, and hormone treatment as well [ 12, 13].
In many of these cases, no attempts have yet been made to optimize the conditions for hydrogen production from each individual species and, at the moment, there are no strong indications that Chlamydomonas reinhardtii should be the most promising species if a wild type was to be used in such a process.
The economic analysis takes in to account the capital costs, maintenance costs, operating costs, useful life of the system, interest rate etc. Numerical calculations have been made to optimize different design parameters for a given system and climatic parameters.
The economic analysis takes in to account the capital costs, maintenance costs, operating costs, useful life of the system and interest rate etc. Numerical calculations have been made to optimize different design parameters, for example, collector length, duct depth, solar cell area etc. for a given system and climatic parameters.
An attempt has been made to optimize the process conditions for the maximum removal using Central Composite Design with the help of Minitab® 15 software and the result predicted by optimization plots was 88.27% which is close to the experimental data i.e. 85.38%.
