Optimization of Branched Water Distribution Systems by Means of a Physarum—Inspired Algorithm
Proceedings, 2018 Optimizing water distribution systems is an essential part of water resources allocation planning. It leads to challenging combinatorial optimization problems, for which meta-heuristics have been applied, notably genetic algorithms and ant colony ...
Elias Koritsas +2 more
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A Novel Fused Optimization Algorithm of Genetic Algorithm and Ant Colony Optimization [PDF]
Mathematical Problems in Engineering, 2016 A novel fused algorithm that delivers the benefits of both genetic algorithms (GAs) and ant colony optimization (ACO) is proposed to solve the supplier selection problem. The proposed method combines the evolutionary effect of GAs and the cooperative effect of ACO.
FuTao Zhao +3 more
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A Novel Heuristic Communication Heterogeneous Dual Population Ant Colony Optimization Algorithm
IEEE Access, 2017 To balance the convergence speed and the solution's diversity in the large-scale travel salesman problem (TSP), this paper proposes a new heuristic communication heterogeneous dual population ant colony optimization (HHACO).
Mingle Xu, Xiaoming You, Sheng Liu
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Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization
Archives of Electrical Engineering, 2020 This paper presents the application of an improved ant colony optimization algorithm called mixed integer distributed ant colony optimization to optimize the power flow solution in power grids.
Vishnu Suresh +2 more
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Optimal Power Flow through Artificial Intelligence Techniques
Tecnura, 2021 Context: The integration of optimization methods into the various processes carried out by an electric power system seeking energy efficiency have led to satisfying results in the reduction of consumption as well as in terms of technical losses, security
Cesar Hernandez +2 more
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Optimal Unit Commitment with Ant Colony Algorithm [PDF]
Computational Research, 2014 This paper presents an improved ant colony search algorithm that is suitable for solving unit commitment (UC) problems. Ant colony algorithm (ACA) is a meta-heuristic technique for solving hard combinatorial optimization problems. It is a population-based approach that uses exploitation of positive feedback, distributed computation as well as ...
Majid Alizadeh Moghadam +1 more
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An Enhanced Ant Colony Optimization Based Algorithm to Solve QoS-Aware Web Service Composition
IEEE Access, 2021 Web Service Composition (WSC) can be defined as the problem of consolidating the services regarding the complex user requirements. These requirements can be represented as a workflow.
Fadl Dahan +3 more
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Multi-objective ant colony optimization for requirements selection [PDF]
, 2015 The selection of a set of requirements between all the requirements previously defined by customers is an important process, repeated at the beginning of each development step when an incremental or agile software development approach is adopted. The set
Del Águila Cano, Isabel María +2 more
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Self-adaptive hybrid genetic algorithm using an ant-based algorithm [PDF]
, 2014 The pheromone trail metaphor is a simple and effective way to accumulate the experience of the past solutions in solving discrete optimization problems. Ant-based optimization algorithms have been successfully employed to solve hard optimization problems.
Aref, Ibrahim A. +2 more
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An Improved Ant Colony Model for Cost Optimization of Composite Beams
Applied Artificial Intelligence, 2017 This paper focused on the application and evaluation of an improved ant colony search method for the cost optimization of composite beams. The design was based on the American Institute of Steel Construction load and resistance factor design ...
Tahereh Korouzhdeh +2 more
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