Lamarckian and Lifelong Memetic Search in Agent-Based Computing

被引：0

作者：

Korczynski, Wojciech ^{[1
]}

Kisiel-Dorohinicki, Marek ^{[1
]}

Byrski, Aleksander ^{[1
]}

机构：

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

来源：

APPLICATIONS OF EVOLUTIONARY COMPUTATION, EVOAPPLICATIONS 2017, PT I | 2017年 / 10199卷

关键词：

Memetic algorithms; Agent-based computing; Continuous optimization; Metaheuristics; MULTIAGENT SYSTEM; OPTIMIZATION; MODEL; ALGORITHMS;

D O I：

10.1007/978-3-319-55849-3_17

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Memetic algorithms when used with care can help in balancing exploitation and exploration of the metaheuristics, without the overhead measured by the rapidly increased number of function fitness calls. The paper tackles such balancing of use of metaheuristics in an agent-oriented setting. In particular, application of local search during a computing agent's life is researched. The results shown for selected benchmark functions are presented along with necessary statistic testing.

引用

页码：253 / 265

页数：13

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