PASSSS: An Implementation of a Novel Diversity Strategy for Handling Constraints

Abstract

In this paper, we introduce PASSSS (PAS(4)), the Pareto Archived and dominance 
Selection with Shrinkable Search Space evolutionary computation algorithm. The 
main contribution of this paper is a diversity control mechanism embedded into the 
selection operator of an evolutionary algorithm that can be used (with little or no 
modification) to solve both single-objective and multi-objective optimization problems. 
We present a detailed description of the PAS(4) algorithm, and illustrate its capabilities 
by solving several engineering design problems and some test functions from a well-known 
benchmark in evolutionary optimization. Additionally, PAS(4) is also used to solve continuous 
and discrete multiobjective engineering optimization problems.