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
Ant algorithm for single and multiobjective reliability optimization problems
TL;DR: In this paper, the ant colony optimization algorithm is combined with the strength Pareto fitness assignment procedure to solve continuous function and combinatorial optimization problems in reliability engineering, and a clustering procedure has been applied to prune the PAREto set and to maintain diversity.
Proceedings ArticleDOI
Optimal path planning for mobile robots based on intensified ant colony optimization algorithm
TL;DR: For the first time, intensified ant colony optimization algorithm is used to solve path planning for mobile robots which is a continuous function optimization problem containing constraint conditions and provides a new solving approach to the similar problems.
Journal ArticleDOI
Machining fixture layout design using ant colony algorithm based continuous optimization method.
TL;DR: In this article, an ant colony algorithm (ACA) based discrete and continuous optimization methods are applied for optimizing the machining fixture layout so that the workpiece elastic deformation is minimized.
Journal ArticleDOI
A state of the art review of intelligent scheduling
TL;DR: A survey of intelligent scheduling systems is provided by categorizing them into five major techniques containing fuzzy logic, expert systems, machine learning, stochastic local search optimization algorithms and constraint programming.
Journal ArticleDOI
Tabu search algorithm for chemical process optimization
Bao Lin,Bao Lin,David C. Miller +2 more
TL;DR: This paper presents a meta-heuristic optimization algorithm, Tabu Search, and describes how it can be used to solve a wide variety of chemical engineering problems and guidelines for adjusting these parameters are provided to relieve a significant amount of time-consuming trial-and-error experiments.
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.