partSolutionSpace

The Objective Function parameter list

parameters

The partition size. Default value 4.

Creates the initial Solution population
taking into account the lower an upper bounds of
provided experiment factors. This method works by
dividing the solution space into partitions of size 'd'
and then creating a full factorial combination of partitions.

The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is an extensible
package providing optimization driven parameter estimation methods using metaheuristics and
evolutionary computation techniques (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization
for continuous domains, Tabu Search, Evolutionary Strategies, ...) which could be more efficient and require,
in some cases, fewer model evaluations than alternatives relying on experimental design. Currently there
are built in support for models developed with 'Repast Simphony' Agent-Based framework (<https://repast.github.io/>)
and with NetLogo (<https://ccl.northwestern.edu/netlogo/>) which are the most used frameworks for Agent-based modeling.

partSolutionSpace: partSolutionSpace

Description

Usage

Arguments

Value