Memory Principles-based Interpersonal Relationship Optimization

Authors

Su Jia, Management College, Xi'an University of Architecture & Technology, Xi'an 710055, China;
Guangqiu Huang, Management College, Xi'an University of Architecture & Technology, Xi'an 710055, China;

Abstract

Abstract: In order to solve the complicated function optimization problems, a new optimization algorithm was constructed based on the memory principles (MP) and interpersonal relationship (IR), namely memory principles-based interpersonal relationship optimization (MP-IRO). There are five object types in interpersonal relationship system, including lovers, friends, enemies, villains and strangers which successively correspond to loving, gathering, attacking, rejecting, defending instincts and five operators; the loving operator gives preference to individuals which memory type is long memory(LM) and shares CP with other individuals; the gathering operator could make individuals avert local optima; the attacking operator enables an individual's vitality to increase; the rejecting operator can be far from instantaneous memory to expand the search coverage; the defending operator increases the randomness. Results show that the algorithm has characteristics of strong search capability and high adaptability for the complicated function optimization problems.

Recommended Citation

Jia, Su and Huang, Guangqiu (2020) "Memory Principles-based Interpersonal Relationship Optimization," Journal of System Simulation: Vol. 29: Iss. 2, Article 10.
DOI: 10.16182/j.issn1004731x.joss.201702010
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss2/10

First Page

309

Revised Date

2015-07-27

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201702010

Last Page

318

CLC

TP18

Recommended Citation

Su Jia, Huang Guangqiu. Memory Principles-based Interpersonal Relationship Optimization[J]. Journal of System Simulation, 2017, 29(2): 309-318.

DOI

10.16182/j.issn1004731x.joss.201702010