The phrase "and suitable to solve" is correct and usable in written English.
It can be used when describing something that is appropriate or fitting for addressing a particular problem or challenge.
Example: "We need to find a method that is efficient and suitable to solve the issues we are facing in the project."
Alternatives: "and appropriate for resolving" or "and effective in addressing".
Since goal attainment method has a fewer variables to work with, compared to other simple and interactive multi-objective methods, it will be computationally faster and more suitable to solve our complex optimization problem.
The results demonstrate that six artificial immune networks perform well in searching the maximum total effective interrogation and are suitable to solve the RFID reader-to-reader collision avoidance model.
We notice that the sine-cosine wavelet was constructed by sine and cosine functions, and it is more suitable to solve periodic solution problem.
The famous optimization algorithms of spectral gradient approach, limited-memory quasi-Newton method and conjugate gradient algorithm, are suitable to solve large-scale problems.
The benefit of using a totally analytical optimization is to provide simple and universal geometrical rules applicable in a general scenario, despite of using a numerical optimization that is more suitable to solve specific and complex cases by considering all of the aspects involved, e.g. the internal structure of the building or the optical/thermal properties of material used.
The theory of fuzzy logic is the mathematical model, suitable to solve uncertain and vague information.
Relay-assisted communication is suitable to solve the problem and plays a main role in the future generation cellular systems and ad hoc networks [4].
Reaction engineering methodology is uniquely suitable to solve many synthesis, analytical and processing problems associated with the fabrication of advanced ceramic materials.
The rapid convergence and relative simplicity of PSO make it very suitable to solve multi-objective optimization named as multi-objective PSO (MOPSO).
Evolution strategy is a evolution based algorithm like genetic algorithm [ 93] and direct search is a local search strategy suitable to solve a variety of optimization problems that are not well suited for standard optimization algorithms, including problems in which the objective function is discontinuous, non-differentiable, stochastic, or highly nonlinear.
