Implementation of e-New Local Search based Multiobjective Optimization Algorithm and Multiobjective Co-variance based Artificial Bee Colony Algorithm in Stocks Portfolio Optimization Problem

Optimization Problem ◽

Artificial Bee Colony ◽

Bee Colony ◽

Hybridized Artificial Bee Colony Algorithm for Constrained Portfolio Optimization Problem

2018 IEEE Congress on Evolutionary Computation (CEC) ◽

10.1109/cec.2018.8477732 ◽

2018 ◽

Cited By ~ 4

Author(s):

Ivana Strumberger ◽

Eva Tuba ◽

Nebojsa Bacanin ◽

Marko Beko ◽

Milan Tuba

Keyword(s):

Portfolio Optimization ◽

Optimization Problem ◽

Artificial Bee Colony ◽

Bee Colony ◽

Artificial bee colony algorithm for constrained possibilistic portfolio optimization problem

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2015.02.060 ◽

2015 ◽

Vol 429 ◽

pp. 125-139 ◽

Cited By ~ 49

Author(s):

Wei Chen

Keyword(s):

Portfolio Optimization ◽

Optimization Problem ◽

Artificial Bee Colony ◽

Bee Colony ◽

Portfolio Optimization Problem by Means of Artificial Bee Colony Algorithm, Considering Various Criteria

International Journal of Computer Applications ◽

10.5120/18122-9440 ◽

2014 ◽

Vol 103 (11) ◽

pp. 46-52 ◽

Cited By ~ 1

Author(s):

Reza Raei ◽

Mohammad Bahrani Jahromi ◽

Sahar Kamalzadeh

Keyword(s):

Portfolio Optimization ◽

Optimization Problem ◽

Artificial Bee Colony ◽

Bee Colony ◽

An Improved Artificial Bee Colony Algorithm for Portfolio Optimization Problem

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol3.issue10.9 ◽

2011 ◽

Vol 3 (10) ◽

pp. 67-74 ◽

Cited By ~ 2

Author(s):

Zhen Wang ◽

Sanyang Liu ◽

Xiangyu Kong

Keyword(s):

Portfolio Optimization ◽

Optimization Problem ◽

Artificial Bee Colony ◽

Bee Colony ◽

A novel hybrid algorithm based on a harmony search and artificial bee colony for solving a portfolio optimization problem using a mean-semi variance approach

Journal of Central South University ◽

10.1007/s11771-016-3061-9 ◽

2016 ◽

Vol 23 (1) ◽

pp. 181-188 ◽

Cited By ~ 9

Author(s):

Seyed Mohammad Seyedhosseini ◽

Mohammad Javad Esfahani ◽

Mehdi Ghaffari

Keyword(s):

Portfolio Optimization ◽

Hybrid Algorithm ◽

Optimization Problem ◽

Artificial Bee Colony ◽

Harmony Search ◽

Bee Colony ◽

Portfolio Optimization Problem ◽

Variance Approach

Proceedings of the 1st International Conference on Islam, Science and Technology, ICONISTECH 2019, 11-12 July 2019, Bandung, Indonesia ◽

Implementation of Density Based Spatial Clustering of Applications with Noise (DBSCAN) and Multi-objective Co-variance Based Artificial Bee Colony (M-CABC) Algorithm on Portfolio Optimization Problem

10.4108/eai.11-7-2019.2297764 ◽

2020 ◽

Author(s):

M. Ilham ◽

G. Hertono ◽

B. Handari

Keyword(s):

Portfolio Optimization ◽

Optimization Problem ◽

Artificial Bee Colony ◽

Spatial Clustering ◽

Multi Objective ◽

Bee Colony ◽

Improved Self-adaptive Search Equation-based Artificial Bee Colony Algorithm with competitive local search strategy

Swarm and Evolutionary Computation ◽

10.1016/j.swevo.2019.100582 ◽

2019 ◽

Vol 51 ◽

pp. 100582 ◽

Cited By ~ 2

Author(s):

Gürcan Yavuz ◽

Doğan Aydın

Keyword(s):

Local Search ◽

Artificial Bee Colony ◽

Search Strategy ◽

Adaptive Search ◽

Bee Colony ◽

Local Search Strategy ◽

Self Adaptive

Key-node-based local search discrete artificial bee colony algorithm for obstacle-avoiding rectilinear Steiner tree construction

Neural Computing and Applications ◽

10.1007/s00521-014-1760-4 ◽

2014 ◽

Vol 26 (4) ◽

pp. 875-898 ◽

Cited By ~ 7

Author(s):

Hao Zhang ◽

Dong-Yi Ye

Keyword(s):

Local Search ◽

Steiner Tree ◽

Artificial Bee Colony ◽

Bee Colony ◽

Obstacle Avoiding ◽

Tree Construction ◽

Rectilinear Steiner Tree

A Memory Integrated Artificial Bee Colony Algorithm with Local Search for Vehicle Routing Problem with Backhauls and Time Windows

The Journal of King Mongkut's University of Technology North Bangkok ◽

10.14416/j.ijast.2018.03.001 ◽

2018 ◽

Author(s):

Naritsak Naritsak ◽

Krisada Asawarungsaengkul

Keyword(s):

Local Search ◽

Vehicle Routing ◽

Vehicle Routing Problem ◽

Artificial Bee Colony ◽

Time Windows ◽

Routing Problem ◽

Bee Colony

Dung beetle inspired local search in artificial bee colony algorithm for unconstrained and constrained numerical optimisation

International Journal of Intelligent Engineering Informatics ◽

10.1504/ijiei.2020.112030 ◽

2020 ◽

Vol 8 (4) ◽

pp. 268

Author(s):

Nirmala Sharma ◽

Harish Sharma ◽

Ajay Sharma ◽

Jagdish Chand Bansal

Keyword(s):

Local Search ◽

Artificial Bee Colony ◽

Dung Beetle ◽

Bee Colony ◽

Numerical Optimisation