Esempio n. 1
0
        private List <Tuple <RouteSet, double> > ParallelExeDualParallelShaking <TProcedure, TParameters>(Exploration expCondition, Random rdObj, List <Func <RouteSet, Exploration, Random, RouteSet> > neighborhoods, List <Func <RouteSet, Random, RouteSet> > shaking, TProcedure procedure, TParameters parameters, RouteSet bestSolution, RouteSet current, int iteration, Stopwatch timer, double[,] dualCost) where TProcedure : LocalSearchProcedure <RouteSet, TParameters>
        {
            Tuple <RouteSet, double>[]    parallelSolutions = new Tuple <RouteSet, double> [shaking.Count];
            VRPSimultaneousPickupDelivery dualProblem       = ProblemData.GetDualReduceCostProblem(dualCost);
            PenalizationLocalSearch       dualProcedure     = new PenalizationLocalSearch(dualProblem);

            dualProcedure.OverloadFactor = OverloadFactor;

            Parallel.For(0, shaking.Count, i => {
                Random pRdObj        = new Random((i + 1) * (i + 2) * Environment.TickCount);
                var shk              = shaking[i](current, pRdObj);
                var imp              = procedure.Solve(parameters, shk, neighborhoods, expCondition, dualProcedure.GetCost, pRdObj); /*para la construccion de las nuevas rutas se usan los costos reducidos*/
                parallelSolutions[i] = new Tuple <RouteSet, double>(imp, GetCost(imp));
                OnIteration(new IterationEventArgs <RouteSet>(bestSolution, imp, (iteration + 1) * i, timer.Elapsed.TotalSeconds));  /*iteration+1 pq las iteraciones comienzan en cero*/
            });

            return(parallelSolutions.ToList());
        }
Esempio n. 2
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        private List <Tuple <RouteSet, double> > DualParallelShaking <TProcedure, TParameters>(Exploration expCondition, Random rdObj, List <Func <RouteSet, Exploration, Random, RouteSet> > neighborhoods, List <Func <RouteSet, Random, RouteSet> > shaking, TProcedure procedure, TParameters parameters, RouteSet bestSolution, RouteSet current, int iteration, Stopwatch timer, double[,] dualCost) where TProcedure : LocalSearchProcedure <RouteSet, TParameters>
        {
            List <Tuple <RouteSet, double> > parallelSolutions = new List <Tuple <RouteSet, double> >();
            VRPSimultaneousPickupDelivery    dualProblem       = ProblemData.GetDualReduceCostProblem(dualCost);
            PenalizationLocalSearch          dualProcedure     = new PenalizationLocalSearch(dualProblem);

            dualProcedure.OverloadFactor = OverloadFactor;

            for (int k = 0; k < shaking.Count; k++)
            {
                var shk = shaking[k](current, rdObj);
                var imp = procedure.Solve(parameters, shk, neighborhoods, expCondition, dualProcedure.GetCost, rdObj);              /*para la construccion de las nuevas rutas se usan los costos reducidos*/
                parallelSolutions.Add(new Tuple <RouteSet, double>(imp, GetCost(imp)));
                OnIteration(new IterationEventArgs <RouteSet>(bestSolution, imp, (iteration + 1) * k, timer.Elapsed.TotalSeconds)); /*iteration+1 pq las iteraciones comienzan en cero*/
            }

            return(parallelSolutions);
        }