title: How to generate some feasible solutions in CPLEX-PYTHON (Not docplex)?
body: <p>I am working on my thesis about a variant form of Vehicle routing problem (VRP) using a linear mathematical programming approach. I have a well-tested model that I formulated but this model is solved in an acceptable computational time for at most 30 nodes, so I need to implement some metaheuristics to find good feasible solutions for bigger instances, so here is the question. I know that I can generate some solutions using a python-cplex command solution_pool (something like that) so I would like help to know how to generate and access to these solutions (objective function value, decision variables values, etc) my model is a cplex object Model. I know that this is possible if you could help me it would be great. Thanks in advance and greetings from Chile.</p>