Journal ArticleDOI
Ant colony framework for optimal design and scheduling of batch plants
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In this article, the ant colony optimisation paradigm is used for the optimal design of batch chemical processes and illustrates it by solving the combinatorial optimisation problem of multiproduct batch scheduling and the continuous function optimization problem for the design of multi-product plant with single product campaigns and horizon constraints.About:
This article is published in Computers & Chemical Engineering.The article was published on 2000-09-01. It has received 103 citations till now. The article focuses on the topics: Ant colony optimization algorithms & Job scheduler.read more
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Journal ArticleDOI
On the synthesis and optimization of liquid¿liquid extraction processes using stochastic search methods
TL;DR: The main objective is to comparatively study stochastic optimization algorithms in view of speed and robustness when searching conventional as well as complex process representations for optimal solutions to solve separation problems involving quaternary mixtures.
Journal ArticleDOI
Dynamic analysis on optimal placement of fixturing elements using evolutionary techniques
K. P. Padmanaban,G. Prabhaharan +1 more
TL;DR: In this paper, an Ant Colony Algorithm (ACA) and Genetic Algorithm(GA) are employed to optimize the fixture layout with an objective of minimizing the dynamic response of the workpiece.
Journal ArticleDOI
A novel dynamic assignment rule for the distributed job shop scheduling problem using a hybrid ant-based algorithm
TL;DR: A hybrid ant colony algorithm combined with local search to solve the Distributed Job shop Scheduling Problem and a novel dynamic assignment rule of jobs to factories is also proposed.
Journal ArticleDOI
Selection of machining parameters for constrained machining problem using evolutionary computation
TL;DR: In this article, the optimization of cutting parameters for constrained machining operations is reported and the results of the proposed algorithm are compared with other traditional and non-traditional techniques such as Newton's method, hill climbing and ants colony technique.
Journal ArticleDOI
An improved ant colony optimization method and its application for the thermodynamic modeling of phase equilibrium
TL;DR: Results show that the proposed ACOFRS is an alternative method for performing global optimization in phase equilibrium calculations of multicomponent systems and it outperformed other stochastic optimization methods such as Particle Swarm Optimization, Differential Evolution and Genetic Algorithms.
References
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Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Journal ArticleDOI
Ant system: optimization by a colony of cooperating agents
TL;DR: It is shown how the ant system (AS) can be applied to other optimization problems like the asymmetric traveling salesman, the quadratic assignment and the job-shop scheduling, and the salient characteristics-global data structure revision, distributed communication and probabilistic transitions of the AS.
Journal ArticleDOI
Ant colony system: a cooperative learning approach to the traveling salesman problem
TL;DR: The results show that the ACS outperforms other nature-inspired algorithms such as simulated annealing and evolutionary computation, and it is concluded comparing ACS-3-opt, a version of the ACS augmented with a local search procedure, to some of the best performing algorithms for symmetric and asymmetric TSPs.