Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Signomial programming problems with discrete variables (SPD) appear widely in real-life applications, but they are hard to solve.  proposes an enhanced logarithmic method to reformulate the SPD problem as a mixed 0-1 linear program (MILP) with a minimum number of binary variables and inequality constraints. Both of the theoretical analysis and numerical results strongly support its superior performance to other state-of-the-art linearization methods.  also extend the proposed method to linearize some more complicated problems involving product and fractional terms in discrete and continuous variables.
['Han-Lin Li', 'Shu-Cherng Fang', 'Yao-Huei Huang', 'Tiantian Nie']
I am writing a research paper on a idea An enhanced logarithmic method for signomial programming with discrete variables
[{"from": "human", "value": "I am writing a research paper on a idea An enhanced logarithmic method for signomial programming with discrete variables"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Signomial programming problems with discrete variables (SPD) appear widely in real-life applications, but they are hard to solve.  proposes an enhanced logarithmic method to reformulate the SPD problem as a mixed 0-1 linear program (MILP) with a minimum number of binary variables and inequality constraints. Both of the theoretical analysis and numerical results strongly support its superior performance to other state-of-the-art linearization methods.  also extend the proposed method to linearize some more complicated problems involving product and fractional terms in discrete and continuous variables."}]