Examples of Improvement

com.barrybecker4.optimization.Improvement
Represents an incremental improvement for a ParameterArray. (unless the improvement is 0 or negative that is) @author Barry Becker

Examples of com.barrybecker4.optimization.Improvement


        // Use cache to avoid repeats. This can be a real issue if  we have a discrete problem space.
        Set<ParameterArray> cache = new HashSet<ParameterArray>();
        cache.add(currentParams);


        Improvement improvement = null;
        boolean improved = true;


        // iterate until there is no significant improvement between iterations,
        // of the jumpSize is too small (below some threshold).
        do {
            //System.out.println( "iter=" + numIterations + " FITNESS = " + currentParams.getFitness() + "  ------------");


            improvement = currentParams.findIncrementalImprovement(optimizee_, jumpSize, improvement, cache);


            numIterations++;
            currentParams = improvement.getParams();
            jumpSize = improvement.getNewJumpSize();
            notifyOfChange(currentParams);
            improved = improvement.getImprovement() > fitnessEps;


        } while (improved
                && (jumpSize > JUMP_SIZE_EPS)
                && !isOptimalFitnessReached(currentParams));

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Examples of com.barrybecker4.optimization.Improvement

    public Improvement findIncrementalImprovement(Optimizee optimizee, double jumpSize,
                                                  Improvement lastImprovement, Set<ParameterArray> cache) {
        int maxTries = 1000;
        int numTries = 0;
        double fitnessDelta;
        Improvement improvement = new Improvement(this, 0, jumpSize);


        do {
            PermutedParameterArray nbr = getRandomNeighbor(jumpSize);
            fitnessDelta = 0;


            if (!cache.contains(nbr)) {
                cache.add(nbr);
                if (optimizee.evaluateByComparison()) {
                    fitnessDelta = optimizee.compareFitness(nbr, this);
                } else {
                    double fitness = optimizee.evaluateFitness(nbr);
                    fitnessDelta = fitness - getFitness();
                    nbr.setFitness(fitness);
                }


                if (fitnessDelta > 0) {
                    improvement = new Improvement(nbr, fitnessDelta, jumpSize);
                }
            }
            numTries++;


        }  while (fitnessDelta <= 0 && numTries < maxTries);

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Examples of com.barrybecker4.optimization.Improvement

        System.out.println("dot between " + iter.getGradient() + " and " + iter.getOldGradient()+ " is "+ dotProduct);
        newJumpSize = findNewJumpSize(newJumpSize, dotProduct);


        iter.getGradient().copyFrom(iter.getOldGradient());


        return new Improvement(currentParams, improvement, newJumpSize, iter.getGradient());
    }

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