Skip to main content

Table 1 The comparison of the two versions

From: A multi-objective optimization platform for artificial lighting system in commercial greenhouses

Aspect

DynaLight

DynaLight IND

GA implementation strategy

• Updating PF once a new child-solution is created.

• Two comparators: first against highest priority objectives and then against all domain objectives.

• The initial random population is another parent-solution source aside from the current PF.

• Collecting all non-dominated child-solutions, compared with parents, into a candidate list, then comparing all candidates with current PF at the end of each generation.

• One comparator: against all domain objectives.

• The current PF is the only parent-solution source.

Evaluation strategy

No normalization

Posteriori normalization

Objective relation

priority

Relative Importance Graph

SW

Only one SW metric

Multiple SW metrics (Adler 2012; Allan and Feldman 2006; Chang 2000; Varian 2010)