Class view

class problem

Data member

Name	Type	Utility
m_name	string	Name in command line arguments
m_tag	set<problem_tag>	Tags of the problem
m_variable_size	size_t	Size of decision variables
m_objective_size	size_t	Number of objectives
m_opt_mode	vector<optimization_mode>	Optimization mode of each objective value
m_constraint_type	vector<constraint_type>	Types of each constraint
m_effective_eval	size_t	How many solutions the algorithm evaluates
m_objective_accuracy	real	The minimum distance to tell apart two different objective values

Member function

Name	Utility
initialize() ∅	Initialize problem infos
initialize_solution(s) ∅	Default initilization for solution
evaluate_(s, ...) ∅	How to evaluate a given solution s
variable_distance(s1, s2) ∅	Return the distance between soluions s1 and s2 in decision space
variable_distance(x1, x2) ∅	Return the distance between decision variables x1 and x2
same(s1, s2) ∅	Return whether s1 and s2 are the same solution