Abstract: The present disclosure provides methods and systems for hyperparameter tuning and benchmarking.

Abstract: A method for solving an optimization problem inputted by a user may include: (a) using an interface of a digital computer to receive an indication of (i) said optimization problem, (ii) one or more optimization problem specifications of a plurality of optimization problem specifications, (iii) at least one generation method and at least one evaluation method, (iv) one or more algorithms of a plurality of algorithms, wherein said one or more algorithms is configured to solve said optimization problem subject to at least said one or more optimization problem specifications using said at least one generation method and said at least one evaluation method, and (v) one or more computational platforms of a plurality of computational platforms, wherein said one or more computational platforms is configured to execute said one or more algorithms; (b) using said one or more computational platforms to execute said one or more algorithms to yield a solution to said optimization problem; and (c) providing said solution t

Abstract: A method and a system are disclosed for solving a mixed-integer programming problem, the method comprising obtaining an indication of a mixed-integer programming optimization problem; until a performance criterion is met: providing the mixed-integer programming optimization problem to an optimization oracle adapted for solving the mixed-integer programming optimization problem using a feasibility pump technique and comprising an optimization solver, initializing parameters of an optimization oracle and an initial solution pair, the parameters comprising Monte-Carlo simulation parameters, a list of neighborhood functions and a measure of fractionality, and performing iterative calls to the optimization solver until a stopping condition is met; and providing at least one corresponding solution obtained from the optimization solver.

Abstract: A method and a system are disclosed for solving a mixed-integer programming problem, the method comprising obtaining an indication of a mixed-integer programming optimization problem; until a performance criterion is met: providing the mixed-integer programming optimization problem to an optimization oracle adapted for solving the mixed-integer programming optimization problem using a feasibility pump technique and comprising an optimization solver, initializing parameters of an optimization oracle and an initial solution pair, the parameters comprising Monte-Carlo simulation parameters, a list of neighborhood functions and a measure of fractionality, and performing iterative calls to the optimization solver until a stopping condition is met; and providing at least one corresponding solution obtained from the optimization solver.