DropPheromone increases pheromone amount by 0.2 not considering the performance

Energy is the quality and penalty for this schedules

Energy counts the total tour length

Energy returns the current objective from the knapsack problem. Negative, because lower is better

Energy returns the energy of the current state. Lower is better

Energy is the total tour length

Equal returns true if a tour equals the other one

Equal returns true if two states are equal

Equal returns true, of two states are almost equal

Equal returns true if a tour equals the other one

Evaporate increases pheromone amount by 0.2 not considering the performance

Evaporate applies factor and min to pheromone vector

Fitness is the quality and penalty for this schedules

Fitness returns the negative knapsack score. Lower is better

Fitness is called to evaluate the objective function value. Lower is better

Fitness is the total tour length

Init resets internal state of ant

Init resets weight, value and selection. Is called before an ant is searching for another selection

Mutate either swaps two assignments or flips one assignment to another nurse

Mutate uses Swap to swap two cities in the tour

Mutate flips one bit, e.g. makes one selected item unselected or vice versa

Mutate adds variation to a genome. In this case we add gaussian noise

Mutate changes the assignment of a city or the order of a city in a tour

Neighbor calls transfershift or swapshift

Neighbor calls transfershift or swapshift

Neighbor produces a similar tour by swapping two cities in a tour

Neighbor produces a similar tour by swapping two cities in a tour

Neighbor produces a neighbor of the current state by flipping one selection

Neighbor produces a neighbor of the current state by flipping one selection

Neighbor produces another state by adding gaussian noise to the current state

Neighbor produces another state by adding gaussian noise to the current state

Neighbor changes the assignment of a city or the order of a city in a tour

Neighbor changes the assignment of a city or the order of a city in a tour

Objective is the quality and penalty for this schedules

Objective counts the total tour length

Objective returns the current objective from the knapsack problem. Negative, because lower is better

Objective of the current state. Lower is better

Objective is the total tour length

PerceivePheromone returns pheromone values. For unfeasible selections the pheromone value is set to 0

PerceivePheromone returns values from pheromone matrix for current position and multiplies it by a 1/distance. This makes closer cities more attractiv

PerceivePheromone returns nonzero values for each unselected item and for any item that would not fit into the bag

Performance returns negative schedule quality

performance returns negative knapsack score

Step adds `next` nurse to current day and current shift. When shift is full, goes to next shift/day. Returns true, when schedule is finished

Step updates position, appends next stop to tour and returns done when tour length is equal to city count

Step adds next item to the selection. Here we also compute weight and value. Done is returned, when weight limit will be reached with another selectio

TestAnnealBit runs the AnnealBit method and checks for errors

TestAnnealBit runs the AnnealBit method and checks for errors

only calls methods, since its difficult to test for randomized results