NDLI: Parallel decomposition: A critical look

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2013 IEEE International Conference on Computational Intelligence and Cybernetics (CYBERNETICSCOM)

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Parallel decomposition: A critical look

Table of content

A distance-based feature-encoding technique for protein sequence classification in bioinformatics

Application and comparison of neural networks and optimization algorithms as a virtual angle of attack sensor

Automatic nipple detection based on face detection and ideal proportion female using random forest

Javanese speech levels machine translation: Improved parallel text alignment based on impossible pair limitation

Indonesian dialogue management system using information state for independent closed domain

Evaluating resilience strategies based on an evolutionary multi-agent system

Interpretation of urine dipstick results based on color similarity using linear interpolation curve fitting

Performance evaluation of swarm intelligence on model-based PID tuning

Performance of a hierarchical temporal memory network in noisy sequence learning

Towards building Indonesian viseme: A clustering-based approach

A novel wireless lighting control strategy using RBF neural networks and genetic algorithm

Fuzzy controller tuning of a mobile robot for exploration and safe navigation in constrained environment

High capacity digital audio reversible watermarking

Toward accountable Internet: Multi-level accountability enhancement of HIP for ease of deployment

Experiments on Indonesian-Japanese statistical machine translation

A cybernetics paradigms framework for cyberspace: Key lens to cybersecurity

A feasibility study as a starting point to build the ocean information system in Bangka Belitung

Robot arm without using robot language and its application to machining process

Swarm fuzzy inference system and R wave features for ventricular premature beat detection

Understanding of cyberspace using cybernetics: An imperative need for cybersecurity of enterprises

An agent framework in service oriented environment

Web crawler utilization for resource search on Indonesian anti-plagiarism detection: Pemanfaatan web crawler untuk pencarian referensi pada deteksi anti-plagiarisme dokumen Bahasa Indonesia

Compressive sensing-based image encryption with optimized sensing matrix

Hybrid genetic algorithms for multi-period part type selection and machine loading problems in flexible manufacturing system

Big data approach to a novel nutrition-based vegetable production and distribution system

Discrete belief propagation network using population coding and factor graph for kinematic control of a mobile robot

An improved Quad and RDE-based medical data hiding method

Comparison between colour models in automatic identification of cane sugar

Low cost vision-based real-time lane recognition and lateral pose estimation

Visual-based fire detection using local binary pattern-three orthogonal planes

A robust image watermarking using DWT, SVD and Torus automorphism

2012 IEEE International Conference on Computational Intelligence and Cybernetics (CyberneticsCom)

Parallel decomposition: A critical look

Content Provider	IEEE Xplore Digital Library
Author	Wah, B.W.
Copyright Year	2013
Description	Author affiliation: Chinese Univ. of Hong Kong, Shatin, China (Wah, B.W.)
Abstract	Summary form only given. Constraint optimization exists in many natural-computation applications, including neural and evolutionary computations. A key observation on the constraints of many of these application problems is that they are highly structured and involve variables with strong spatial or temporal locality. Based on this observation, large-scale problems in these applications can be partitioned by their constraints into a small number of much simpler subproblems. Because each subproblem has only a fraction of the original constraints, it is a significant relaxation of the original problem and has a dramatically lower complexity. As a result, many problems that cannot be solved before can now be solved easily. In this talk, we present the application of this approach in solving nonlinear optimization and automated planning problems. Based on a partition-and-resolve strategy, we evaluate penalty-based techniques for resolving violated global constraints. We further examine the limitations on using penalties to guide the evaluation of the partitioned constraints in planning problems. We argue that a top-down state-space approach is better and demonstrate its effectiveness on nonlinear constrained optimization and automated planning benchmarks.
Sponsorship	Indonesia Sect.
File Size	1173362
File Format	PDF
ISBN	9781467360531
DOI	10.1109/CyberneticsCom.2013.6865767
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Computers Awards activities Signal processing Educational institutions Planning Optimization
Content Type	Text
Resource Type	Article

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