Journal ArticleDOI
Ant colony framework for optimal design and scheduling of batch plants
Reads0
Chats0
TLDR
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
Citations
More filters
Journal ArticleDOI
A novel hybrid differential evolution approach to scheduling of large-scale zero-wait batch processes with setup times
TL;DR: A novel hybrid permutation-based differential evolution (HPDE) algorithm and fast complex heuristic (FCH) local search scheme is proposed for zero-wait scheduling problems of batch plants with setup times and demonstrates that HPDE reaches high-quality solutions in short computational time.
Journal ArticleDOI
ACS-TS: train scheduling using ant colony system
TL;DR: An algorithm for the train scheduling problem using the ant colony system metaheuristic called ACS-TS, which results in good quality and time savings is developed.
Journal ArticleDOI
Multiperiod optimization for the design and planning of multiproduct batch plants
TL;DR: A general multiperiod optimization model, which simultaneously solves the design and planning decisions in multiproduct batch plants, and the objective is the maximization of an economic function, which considers incomes, and both investment and operation costs.
DissertationDOI
New heuristics for global optimization of complex bioprocesses
TL;DR: An introduction to global optimization in the biotechnological area, including the main type of existing problems and the available optimization methods to solve them, and a scatter search-based algorithm for the global optimization of non-linear dynamic systems.
Book ChapterDOI
Preference Vector Ant Colony System for Minimising Make-span and Energy Consumption in a Hybrid Flow Shop
TL;DR: A multi-objective scheduling problem in a hybrid flow shop to minimise make-span and energy consumption is discussed and the experimental results show that PVACS outperforms the other two algorithms.
References
More filters
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.