Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 3

Year

2018 1

2017 1

2015 1

Keywords

3D packing problem 1

Active noise control (ANC) 1

Constructive algorithm 1

Filtered extended least mean square (FXLMS) 1

Genetic algorithms 1

Heuristics 1

Interior-point method 1

Layout design 1

Memetic computing 1

Meta-heuristics 1

Network design problem 1

Optimization 1

Simulation 1

Surrogate-based optimization 1

Transportation planning 1

open ︾

Search scope:

排序： Display mode:

HAPE3D—a new constructive algorithm for the 3D irregular packing problem

Xiao LIU,Jia-min LIU,An-xi CAO,Zhuang-le YAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 5, Pages 380-390 doi: 10.1631/FITEE.1400421

Abstract: We propose a new constructive algorithm, called HAPE3D, which is a heuristic algorithm based on the principle of minimum total potential energy for the 3D irregular packing problem, involving packing a set of irregularly shaped polyhedrons into a box-shaped container with fixed width and length but unconstrained height. The objective is to allocate all the polyhedrons in the container, and thus minimize the waste or maximize profit. HAPE3D can deal with arbitrarily shaped polyhedrons, which can be rotated around each coordinate axis at different angles. The most outstanding merit is that HAPE3D does not need to calculate no-fit polyhedron (NFP), which is a huge obstacle for the 3D packing problem. HAPE3D can also be hybridized with a meta-heuristic algorithm such as simulated annealing. Two groups of computational experiments demonstrate the good performance of HAPE3D and prove that it can be hybridized quite well with a meta-heuristic algorithm to further improve the packing quality.

Keywords： 3D packing problem Layout design Simulation Optimization Constructive algorithm Meta-heuristics

HTML PDF Collect

A surrogate-based optimization algorithm for network design problems Article

Meng LI, Xi LIN, Xi-qun CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11, Pages 1693-1704 doi: 10.1631/FITEE.1601403

Abstract: framework, numerical examples are provided to compare SBO with some existing solving algorithms and other heuristics

Keywords： Network design problem Surrogate-based optimization Transportation planning Heuristics

HTML PDF Collect

Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification None

Muhammad Asif Zahoor RAJA, Muhammad Saeed ASLAM, Naveed Ishtiaq CHAUDHARY, Wasim Ullah KHAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2, Pages 246-259 doi: 10.1631/FITEE.1601028

Abstract: In this study, hybrid computational frameworks are developed for active noise control (ANC) systems using an evolutionary computing technique based on genetic algorithms (GAs) and interior-point method (IPM), following an integrated approach, GA-IPM. Standard ANC systems are usually implemented with the filtered extended least mean square algorithm for optimization of coefficients for the linear finite-impulse response filter, but are likely to become trapped in local minima (LM). This issue is addressed with the proposed GA-IPM computing approach which is considerably less prone to the LM problem. Also, there is no requirement to identify a secondary path for the ANC system used in the scheme. The design method is evaluated using an ANC model of a headset with sinusoidal, random, and complex random noise interferences under several scenarios based on linear and nonlinear primary and secondary paths. The accuracy and convergence of the proposed scheme are validated based on the results of statistical analysis of a large number of independent runs of the algorithm.

Keywords： Active noise control (ANC) Filtered extended least mean square (FXLMS) Memetic computing Genetic algorithms Interior-point method