Buffered local search for efficient memetic agent-based continuous optimization

被引：7

作者：

Korczynski, Wojciech ^{[1
]}

Byrski, Aleksander ^{[1
]}

Kisiel-Dorohinicki, Marek ^{[1
]}

机构：

[1] AGH Univ Sci & Technol, Dept Comp Sci, Fac Comp Sci Elect & Telecommun, Al Mickiewicza 30, PL-30059 Krakow, Poland

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2017年 / 20卷

关键词：

Memetic algorithms; Agent-based computing; Continuous optimization; Meta-heuristics; EVOLUTIONARY; ALGORITHMS; MODEL;

D O I：

10.1016/j.jocs.2017.02.001

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, a memetic search in classic and agent-based evolutionary algorithms are discussed. A local search is applied in an innovative way; namely, during an agent's life and in a classic way during the course of reproduction. Moreover, in order to efficiently utilize the computing power available, an efficient mechanism based on caching parts of the fitness function in the local search is proposed. The experimental results obtained for selected high-dimensional benchmark functions (with 5000 dimensions) show the apparent advantage of the proposed mechanism. (C) 2017 Elsevier B.V. All rights reserved.

引用

页码：112 / 117

页数：6

共 50 条

[11] Iterated local search with Powell's method: A memetic algorithm for continuous global optimization
Kramer O.
Memetic Computing, 2010, 2 (1) : 69 - 83
[12] Efficient local search limitation strategies in memetic algorithm
Yuichi N.
Shigenobu K.
Satoshi T.
Transactions of the Japanese Society for Artificial Intelligence, 2010, 25 (02) : 299 - 310
[13] Handling equality constraints with agent-based memetic algorithms
Barkat Ullah A.S.S.M.
Sarker R.
Lokan C.
Memetic Computing, 2011, 3 (1) : 51 - 72
[14] Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems
Molina, Daniel
Lozano, Manuel
Herrera, Francisco
LEARNING AND INTELLIGENT OPTIMIZATION, 2009, 5851 : 221 - +
[15] Agent-Based Natural Domain Modeling for Cooperative Continuous Optimization
Jorquera, Tom
George, Jean-Pierre
Gleizes, Marie-Pierre
Regis, Christine
COMPUTATIONAL COLLECTIVE INTELLIGENCE: TECHNOLOGIES AND APPLICATIONS, 2013, 8083 : 437 - 446
[16] MA-SW-Chains: Memetic Algorithm Based on Local Search Chains for Large Scale Continuous Global Optimization
Molina, Daniel
Lozano, Manuel
Herrera, Francisco
2010 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), 2010,
[17] Optimization of an agent-based model for continuous trading energy market
Alberizzi, A.
Di Barba, P.
Mognaschi, M. E.
Zani, A.
ELECTRICAL ENGINEERING, 2024, 106 (04) : 4003 - 4017
[18] An Agent-Based Guided Local Search for the Capacited Vehicle Routing Problem
Barbucha, Dariusz
AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, 2011, 6682 : 476 - 485
[19] Rethinking validation: Efficient search of the space of parameters for an agent-based model
Olaru, Doina
Purchase, Sharon
AUSTRALASIAN MARKETING JOURNAL, 2014, 22 (01): : 60 - 68
[20] CBSO: a memetic brain storm optimization with chaotic local search
Yu, Yang
Gao, Shangce
Cheng, Shi
Wang, Yirui
Song, Shuangyu
Yuan, Fenggang
MEMETIC COMPUTING, 2018, 10 (04) : 353 - 367

← 1 2 3 4 5 →