praktikum-holons/src/exampleAlgorithms/ObjectiveFunctionByCarlos.java

package exampleAlgorithms;

import ui.model.DecoratedNetwork;
import ui.model.DecoratedState;
import java.lang.Exception;

public class ObjectiveFunctionByCarlos {
	//Parameter
	static float lambda;
	//weight for f_g(H)
	static float w1 = .2f, w2 = .2f, w3 = .2f, w4 = .2f, w5=.2f;
	//kappas for squashing function
	static float k1 = .2f, k2 = .2f, k3 = .2f, k4 = .2f, k5=.2f;
	
	
	
	
	//pre-calculated parameters:
	/** 
	 * Pre calculated for the squash function
	 * <br>
	 *  {@link ObjectiveFunctionByCarlos#squash}
	 */
	static float squash_subtract = 1.0f / (1.f + (float) Math.exp(5.0));
	
	
	
	static {
        //pre-calculations
		System.out.println("Precalculations");
		
		
		
		double doubleBaseTest = Math.exp(300);
		double doubleMax =  Double.MAX_VALUE;
		float floatBaseTest = (float)Math.exp(300);
		float floatMax =  Float.MAX_VALUE;
		
		
		System.out.println("floatMax" + floatMax);
		System.out.println("floatBaseTest" + floatBaseTest);
		System.out.println("doubleMax" + doubleMax);
		System.out.println("doubleBaseTest" + doubleBaseTest);
		
		
		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(w1 + w2 + w3 + w4 + w5 - 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
	 */
	static public float getFitnessValueForState(DecoratedState state) {
		
		//Calculate f_eb the penalty for unbalenced energy in the network
		
		//TODO: Hier sollte zwischen den Netzwerken verschiedenen Holons unterschieden werden dies ist in den Formeln nicht wiedergegeben
		// Kann somit schlechte und gute Netzwerke ausgleichen
		// Implementierung ist wie im paper.
		float f_eb = 0;
		//sum over all objects
		for(DecoratedNetwork net : state.getNetworkList()) {
			f_eb += net.getConsumerList().stream().map(con -> con.getEnergySelfSupplied() - con.getEnergyFromConsumingElemnets()).reduce(0.f, Float::sum);
			f_eb += net.getConsumerSelfSuppliedList().stream().map(con -> con.getEnergySelfSupplied() - con.getEnergyFromConsumingElemnets()).reduce(0.f, Float::sum);
			f_eb += net.getSupplierList().stream().map(sup -> sup.getEnergyProducing() - sup.getEnergySelfConsuming()).reduce(0.f, Float::sum);
		}
		//abs
		f_eb = (float) Math.abs(f_eb);
		
		//Calculate f_state the penalty function for the supply state
		float f_state = 0;
		for(DecoratedNetwork net : state.getNetworkList()) {
			f_state += net.getConsumerList().stream().map(con -> supplyPenalty(con.getSupplyBarPercentage())).reduce(0.f, Float::sum);
		}
			
		
		
		
		
		
		
		
		
		
		
		
		return 0.0f + lambda;
	}
	
	
	/**
	 * 
	 * @param x the input
	 * @param kappa the corresponding kappa
	 * @return
	 */
	static public float squash(float x, float kappa) {
		return 100.f/(1.0f + (float)Math.exp(-(10.f * (x - kappa/2.f))/ kappa)) - squash_subtract;
	}
	
	/**
	 * 
	 * @param supplyPercentage from 0 to 1
	 * @return
	 */
	static public float supplyPenalty(float supplyPercentage) {
		float f_base = base(supplyPercentage);
		return (float)(Math.pow(f_base, 100 - 100 * supplyPercentage) - Math.pow(f_base, 2)); 
	}
	/**
	 * TODO: f_base wird im Paper mit e angegeben. f_eb mit exp() warum nicht einheitlich?
	 * 
	 * @param supplyPercentage from 0 to 1
	 * @return 5 or 6 but with fancy math 
	 */
	static public float  base(float supplyPercentage) {
		//TODO: Fancy kann aber leicht zu overflow fürhen denn e1000 ist zu groß für double max double 1.7976931348623157E308 und max float 3.4028235E38
		//Oder BigDecimal aber müsste echt nicht sein.
		double euler = Math.exp(1000.0 - 1000.0 * supplyPercentage);
		return (float) ((5 * euler  + 6 ) /  (euler + 1));
		
		
		
		//Suggestion 
		// return (supplyPercentage < 1.0f)? 5.0: 6.0; einfach und gut 
		
	}
	
}