A Hybrid Harmony Search and TRANSYT hill climbing algorithm for signalized stochastic equilibrium transportation networks

Ceylan, Hüseyin; Ceylan, Halim

doi:10.1016/j.trc.2012.05.007

Cited by 34 publications

(19 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Many traffic modeling software packages are capable of finding the optimal or near-optimal signal timings using different optimization algorithms. For example, Ceylan proposes a modified HS with embedded hill climbing algorithm for further tuning the solutions in the stochastic equilibrium network design [37]. The modified HS algorithm is also used in parameter identification of the solar cell mathematical models [38].…”

Section: Applications Of Hs Methodsmentioning

confidence: 99%

Harmony Search Method: Theory and Applications

Gao

Govindasamy

et al. 2015

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

The Harmony Search (HS) method is an emerging metaheuristic optimization algorithm, which has been employed to cope with numerous challenging tasks during the past decade. In this paper, the essential theory and applications of the HS algorithm are first described and reviewed. Several typical variants of the original HS are next briefly explained. As an example of case study, a modified HS method inspired by the idea of Pareto-dominance-based ranking is also presented. It is further applied to handle a practical wind generator optimal design problem.

show abstract

Section: Applications Of Hs Methodsmentioning

confidence: 99%

Harmony Search Method: Theory and Applications

Gao

Govindasamy

et al. 2015

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Moreover, the old academic performance evaluation framework based on citation analysis doesn't fit the changing publishing trends in network environment [9,10]. To solve the problems mentioned above, this paper is focused on the innovative treatment of basic concepts and methodology of academic performance evaluation, and use h-index and related indicators as basic indicators for a new academic performance evaluation model.…”

Section: Theoretical Deriatlonmentioning

confidence: 99%

The Research on H-index-Based Academy Credit Evaluation Based on Fractional Theory

Gao¹

2015

TOCSJ

View full text Add to dashboard Cite

This paper studies the h-index-based academy credit evaluation based on fractional theory. The ACE model based on h-index was proposed and implemented. Learning from many study of academic performance evaluation, the paper proposed an ACE model emphasizing the credit from academic experts, with some new methods and indictors such as large-scale h-index extracting approach, citation recommendation analysis approach and z-index indicator. To apply the new model of ACE in real academic performance evaluation, related software was developed. The empirical study shows that the h-index-based academy credit evaluation based on fractional theory can achieve better performance than the traditional algorithm in academy credit evaluation.

show abstract

“…Many traffic modeling software are capable of finding the optimal or near-optimal signal timings using different optimization algorithms. For example, Ceylan [23] proposes a modified HS with embedded hill climbing algorithm for further tuning the solutions in the stochastic equilibrium network design. The modified HS algorithm is also used in parameter identification of the solar cell mathematical models [24].…”

Section: Othersmentioning

confidence: 99%

The Overview of Harmony Search

Wang

Gao

Zenger

2014

An Introduction to Harmony Search Optimization Method

View full text Add to dashboard Cite

When musicians compose the harmony, they usually try various possible combinations of the music pitches stored in their memory, which can be considered as a optimization process of adjusting the input (pitches) to obtain the optimal output (perfect harmony). Harmony search draws the inspiration from harmony improvisation, and has gained considerable results in the field of optimization, although it is a relatively NIC algorithm. With mimicking the rules of various combining pitches, harmony search has two distinguishing operators different from other NIC algorithms: harmony memory considering rate (HMCR) and pitch adjusting rate (PAR) that are used to generate and further mutate a solution, respectively. This candidate generation mechanism and single search memory involved decide its excellence in structure simplicity and small initial population. This chapter presents the discussions of the inspiration of harmony search, the basic harmony search optimization algorithm, and an overview of different application areas of the harmony search.

show abstract

A Hybrid Harmony Search and TRANSYT hill climbing algorithm for signalized stochastic equilibrium transportation networks

Cited by 34 publications

References 38 publications

Harmony Search Method: Theory and Applications

Harmony Search Method: Theory and Applications

The Research on H-index-Based Academy Credit Evaluation Based on Fractional Theory

The Overview of Harmony Search

Contact Info

Product

Resources

About