Combining multiple objective functions to perform algorithmic problem solving is described. A first algorithm performs processing on a complex problem and generates multiple solutions to the problem. One or more solutions as generated by the first algorithm are send to one or more additional algorithms for further processing of complex sub-problems bounded by the first algorithm. The solutions to the first algorithm are used as input to the additional algorithms, where those solutions include at least one boundary condition under which the additional algorithms process the sub-problems. Ultimate solutions satisfy boundary conditions of the first algorithm, and all conditions of the additional algorithms. Algorithms may be executed in combinations of parallel and/or sequential operation to generate a final solution considering multiple different sub-problems to the complex problem.