praktikum-holons/src/algorithm/objective_function/ObjectiveFunctionByCarlos.java

package algorithm.objective_function;

import java.util.List;

import model.Flexibility;
import model.Flexibility.FlexState;
import model.HolonElement.Priority;
import ui.model.DecoratedNetwork;
import ui.model.DecoratedState;

public class ObjectiveFunctionByCarlos {
	//Parameters
	
	//weight for f_g(H)
	static double w_eb = .3, w_state = .3, w_pro = .2, w_perf = .1, w_holon=.1;
	//killswitch weights
	//static double w_eb = 0.5, w_state = 0.5, w_pro = 0.0f, w_perf = .0, w_holon=.0;
	
	//kappas for squashing function
//	
	//static double k_eb = 1050000.f, k_state = 10000, k_pro = 2000, k_perf = 11000, k_holon= 150000;
//  oversupplied
	static double k_eb = 750000.f, k_state = 20000, k_pro = 3000, k_perf = 15000, k_holon= 200000;
	
//	old values undersupplied 
//	static double k_eb = 1000000.f, k_state = 15000, k_pro = 2100, k_perf = 12000, k_holon= 200000;
	
	//theta for f_pro
	static double theta = 3;
	
	//kappas for f_perf:
	static double kappa_f_unre = 120;
	static double kappa_f_cool = 60*60*24;
	static double kappa_f_dur = 60*60;
	
	//lambdas for f_perf:
	static double lambda_f_unre = 10;
	static double lambda_f_cool = 10;
	static double lambda_f_dur = 10;
	
	static double lambda_f_change = 1000;
	
	
	
	//pre-calculated parameters for partial function terms:
	/** 
	 * Pre calculated for the squash function
	 * <br>
	 *  {@link ObjectiveFunctionByCarlos#squash}
	 */
	static double squash_subtract = 100.f / (1.f + (float) Math.exp(5.0));
	static double range_for_kappa_f_unre = range(kappa_f_unre);
	static double range_for_kappa_f_cool = range(kappa_f_cool);
	static double range_for_kappa_f_dur = range(kappa_f_dur);
	
	
	public static void main(String[] args) {
		System.out.println("Hello World");
		System.out.println("range_for_kappa_f_unre:" + range_for_kappa_f_unre);
		double input = 0;
		System.out.println(input + ": " + durationPenalty(input));
		input = 60;
		System.out.println(input + ": " + durationPenalty(input));
		input = 1000;
		System.out.println(input + ": " + durationPenalty(input));
		input = 3600;
		System.out.println(input + ": " + durationPenalty(input));
	}
	static {
        //init
		checkParameter();
    }
	
	/**
	 * Check parameter Setting and print error when wrong values are put in.
	 * Here should all invariants be placed to be checked on initialization.
	 */
	private static void checkParameter() {
		if(!(Math.abs(w_eb + w_state + w_pro + w_perf + w_holon - 1) < 0.001)) {
			System.err.println("ParameterError in ObjectiveFunction: w1 + w2 + w3 + w4 + w5 should be 1");
		}
	}
	
	/**
	 * ObjectifeFunction by Carlos.
	 * Function computes f_g:
	 * f_g = w1 * squash(f_eb, k1) + w2 * squash(f_state, k2) + w3 * squash(f_pro, k3) + w4 * squash(f_perf, k4) + w5 * squash(f_holon, k5) 
	 * 
	 * 
	 * squash is the squashing function {@link ObjectiveFunctionByCarlos#squash}
	 * 
	 * 
	 * @param state
	 * @return f_g value between 0 and 100
	 */
	static public double getFitnessValueForState(DecoratedState state) {
		
		//Calculate f_eb the penalty for unbalenced energy in the network
		double f_eb = 0;
		//sum over all objects
		for(DecoratedNetwork net : state.getNetworkList()) {
			double netEnergyDifference = 0;
			netEnergyDifference += net.getConsumerList().stream().map(con -> con.getEnergySelfSupplied() - con.getEnergyFromConsumingElemnets()).reduce(0.f, Float::sum);
			netEnergyDifference += net.getConsumerSelfSuppliedList().stream().map(con -> con.getEnergySelfSupplied() - con.getEnergyFromConsumingElemnets()).reduce(0.f, Float::sum);
			netEnergyDifference += net.getSupplierList().stream().map(sup -> sup.getEnergyProducing() - sup.getEnergySelfConsuming()).reduce(0.f, Float::sum);
			//abs
			f_eb += Math.abs(netEnergyDifference);
		}
		
		//Calculate f_state the penalty function for the supply state
		double f_state = 0;
		for(DecoratedNetwork net : state.getNetworkList()) {
			f_state += net.getConsumerList().stream().map(con -> supplyPenalty(con.getSupplyBarPercentage())).reduce(0., Double::sum);
		}
		
		//calculate f_pro the penalty function for priority usage 
		// for each active flexibility punish
		
		List<Flexibility> allFlexOrdered = state.getAllFlex().filter(flex -> flex.getState().equals(FlexState.IN_USE)).toList();
		double f_pro = 0;
		f_pro = allFlexOrdered.stream().map(flex -> Math.pow(theta, priorityToDouble(flex.getElement().getPriority()) ) - 1.0).reduce(0.0, Double::sum);
		
		//calculate f_perf the penalty function for the quality of a flexibility used
		
		// and the subfuction f_unre, f_cool, f_dur
		double f_perf = 0;
		for(Flexibility flex : allFlexOrdered) {
			double f_unre =  unresponsivnessPenalty(flex.getSpeed());
			double f_cool = cooldownPenalty(flex.getCooldown());
			double f_dur = durationPenalty(flex.getDuration());
			f_perf += f_unre + f_cool + f_dur;
		}
		
		//calculate f_holon
		double f_holon = 0;
		for(DecoratedNetwork net : state.getNetworkList()) {
			double f_elements_diviation_production = net.getDeviationInProductionInNetworkForHolonObjects();
			double f_elements_diviation_consumption = net.getDeviationInProductionInNetworkForHolonObjects();
			double f_flexibility_diviation_consumption = net.getDiviationInFlexibilityConsumption();
			double f_flexibility_diviation_production = net.getDiviationInFlexibilityProduction();
			
			
			double con = net.getTotalConsumption();
			double prod = net.getTotalProduction();
			double flexcapProd = net.getFlexibilityProductionCapacity();
			double flexcapCon = net.getFlexibilityConsumptionCapacity();
			double f_change_positive = lambda_f_change - lambda_f_change * Math.min(1, (con > 0.0)?  flexcapProd / con : 1.0 );
			double f_change_negativ = lambda_f_change - lambda_f_change * Math.min(1, (prod > 0.0)? flexcapCon / prod: 1.0);
			
			
			

			
			double f_element = f_elements_diviation_production +f_elements_diviation_consumption;
			double f_flexibility = f_flexibility_diviation_consumption +f_flexibility_diviation_production;
			double f_change = f_change_positive + f_change_negativ;
			
			f_holon += f_element + f_flexibility + f_change;
//			System.out.print( "f_element=" + doubleToString(f_element));
//			System.out.print( " f_flexibility=" + doubleToString(f_flexibility));
//			System.out.println( " f_change=" + doubleToString(f_change));
//			System.out.print( "f+elements=" + doubleToString(f_elements_diviation_production));
//			System.out.print( " f-elements=" + doubleToString(f_elements_diviation_consumption));
//			System.out.print( " f+flexibility" + doubleToString(f_flexibility_diviation_consumption));
//			System.out.print( " f-flexibility" + doubleToString(f_flexibility_diviation_production));
//			System.out.print( " f+change(" +  doubleToString(flexcapProd) + "/" + doubleToString(con) + ")=" + doubleToString(f_change_positive));
//			System.out.print( " f-change(" +  doubleToString(flexcapCon) + "/" + doubleToString(prod) + ")="+ doubleToString(f_change_negativ));
//			System.out.println( " sum=" + doubleToString(sum));
		}
		
		
		
		
//		System.out.print( "f_ebVALUE=" + f_eb);
//		System.out.print( " f_state=" + f_state);
//		System.out.print( " f_pro=" + f_pro);
//		System.out.print( " f_perf=" + f_perf);
//		System.out.println( " f_holon=" + f_holon);
		double q1 = squash(f_eb, k_eb);
		double q2 = squash(f_state, k_state);
		double q3 = squash(f_pro, k_pro);
		double q4 = squash(f_perf, k_perf);
		double q5 = squash(f_holon, k_holon);
//		System.out.print( "f_eb=" + q1);
//		System.out.print( " f_state=" + q2);
//		System.out.println( " f_pro=" + q3);
//		System.out.println( " f_perf=" + q4);
//		System.out.println( " f_holon=" + q5);
//		
		return  w_eb * q1 + w_state * q2 + w_pro * q3 + w_perf * q4 + w_holon * q5;
		//return (float) (f_eb + f_state + f_pro + f_perf + f_holon);
	}

	
	
	
	
	
	/**
	 * The squashing function in paper
	 * @param x the input
	 * @param kappa the corresponding kappa
	 * @return
	 */
	static public double squash(double x, double kappa) {
		return 100.f/(1.0f + Math.exp(-(10.f * (x - kappa/2.f))/ kappa)) - squash_subtract;
	}
	
	/**
	 * f_sup in paper
	 * @param supply from 0 to 1
	 * @return
	 */
	static public double supplyPenalty(double supply) {
		double supplyPercentage = 100 * supply;
		//	double test = (supplyPercentage < 100) ? -0.5 * supplyPercentage + 50: supplyPercentage - 100;
		return (supplyPercentage < 100) ? -0.5 * supplyPercentage + 50: supplyPercentage - 100;
	}
	
	/**
	 * prio function in the paper
	 * @param priority
	 * @return
	 */
	private static double priorityToDouble(Priority priority) {
		switch(priority) {
		case Essential:
			return 3.;
		case High:
			return 2.;
		case Medium:
			return 1.;
		case Low:
		default:		
			return 0.;
		}
	}
	
	/**
	 * Attention Math.log calcultae ln not log
	 * @param kappa
	 * @return
	 */
	private static double range(double kappa) {
		return - kappa / Math.log(Math.pow(2.0, 0.05) - 1.0 );
	}
	/**
	 * f_unre
	 * @param unresponsiv
	 * @return
	 */
	private static double unresponsivnessPenalty(double unresponsiv) {
		return (2.0 * lambda_f_unre) / (1 + Math.exp(- unresponsiv/ range_for_kappa_f_unre)) - lambda_f_unre;
	}
	/**
	 * f_cool
	 * @param cooldown
	 * @return
	 */
	private static double cooldownPenalty(double cooldown) {
		return (2.0 * lambda_f_cool) / (1 + Math.exp(- cooldown/ range_for_kappa_f_cool)) - lambda_f_cool;
	}

	
	private static double durationPenalty(double duration) {
		double lambda_dur_times2 = 2.0 * lambda_f_dur;
		return - lambda_dur_times2 / (1 + Math.exp(- duration/ range_for_kappa_f_dur)) + lambda_dur_times2;
	}

}