LARES: An Artificial Chemical Process Approach for Optimization

Irizarry, Roberto

doi:10.1162/1063656043138897

Cited by 37 publications

(21 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is a standard quadratic optimization problem (QP) that can be solved by standard methods for QP. We have chosen to use a global optimization heuristic . The optimal solution of this problem typically gives a global solution that fits the CLD almost perfectly.…”

Section: Model Evaluationmentioning

confidence: 99%

Determining particle‐size distributions from chord length measurements for different particle morphologies

Schoell¹,

Irizarry

Sirota

et al. 2019

AIChE Journal

Self Cite

View full text Add to dashboard Cite

A recently proposed model to determine particle‐size distributions (PSDs) from chord length measurements has been applied to different particle morphologies, namely compact, platelet‐ and rod‐shaped particles. To study these systems, chord length distributions (CLDs) were measured at varying particle size and solids concentration for each compound and were subsequently utilized to determine the system‐specific parameters. Each model was successfully applied to its respective compound such that the experimental PSDs and model predictions were in good agreement. Moreover, the effect of other variables such as agitation rate and solvent composition was investigated and found to be negligible for the specific systems tested. Finally, potential model optimizations of the general model construct have been studied. Two variants of the CLD compression step, namely principal component analysis and a geometric model have been considered as surrogate models. However, neither of these approaches yielded superior results than the previously proposed approach.

show abstract

Section: Model Evaluationmentioning

confidence: 99%

Determining particle‐size distributions from chord length measurements for different particle morphologies

Schoell¹,

Irizarry

Sirota

et al. 2019

AIChE Journal

Self Cite

View full text Add to dashboard Cite

show abstract

“…Artificial chemical process algorithm (ACPA) was proposed in Irizarry (2004Irizarry ( , 2005aIrizarry ( , b, 2011. In ACPA, each solution is viewed as a vector and encoded into a set of independent discrete variables (x j ; j ¼ 1; .…”

Section: Fundamentals Of Artificial Chemical Process Algorithmmentioning

confidence: 99%

“…The major feature of ACPA is the use of multiple encoding and the application of certain kinds of constraints. The main steps of ACPA are outlined as follows (Irizarry 2004(Irizarry , 2005a(Irizarry , b, 2011):…”

Section: Fundamentals Of Artificial Chemical Process Algorithmmentioning

confidence: 99%

See 1 more Smart Citation

Emerging Chemistry-based CI Algorithms

Xing

Gao²

2013

Innovative Computational Intelligence: A Rough Guide to 134 Clever Algorithms

View full text Add to dashboard Cite

In this chapter, a set of emerging chemistry-based computational intelligence (CI) algorithms are introduced. We first, in Sect. 26.1, describe the organizational structure of this chapter. Then, from Sect. 26.2 to Sect. 26.5, each section is dedicated to a specific algorithm which falls within this category. The fundamentals of each algorithm and their corresponding performances compared with other CI algorithms can be found in each associated section. Finally, the conclusions drawn in Sect. 26.6 closes this chapter.

show abstract

“…The first problem is known in the literature as the Rosenbrock function [8,13] or the DeJong function [6], and as a difficult optimizat ion problem. It consists of min imizing the following function:…”

Section: Benchmark Problemsmentioning

confidence: 99%

Genotype Division for Shared Memory Parallel Genetic Algorithm Across Platforms and Systems

Vrajitoru¹

2012

AJIS

View full text Add to dashboard Cite

In this paper we present a concurrent implementation of coevolutionary genetic algorith m (GA ) designed for shared memo ry architectures such as multi-core processor platforms. Our algorith m div ides the chromosome among the processes, and not the population as it is the case for most parallel imp lementations of the GA. This approach results in a division of the problem to be solved by the GA into sub-problems. We analyze the influence on performance and speedup of several parameters defining the algorith m, such as: a synchronous or asynchronous informat ion exchange between processes and the frequency of communication between processes. We also examine how the problem separability influences the general algorith m performance. Finally, we co mpare different operating systems and platforms in the evaluation process. Our paper shows that this approach is a good way to take advantage of mu lti-core processers and improve not only the execution time, but also the fitness in many cases.

show abstract

LARES: An Artificial Chemical Process Approach for Optimization

Cited by 37 publications

References 13 publications

Determining particle‐size distributions from chord length measurements for different particle morphologies

Determining particle‐size distributions from chord length measurements for different particle morphologies

Emerging Chemistry-based CI Algorithms

Genotype Division for Shared Memory Parallel Genetic Algorithm Across Platforms and Systems

Contact Info

Product

Resources

About