... the **ant** **colony** **system** (ACS), the double **ant** **colony** **system** ...worker **ant**. The aim of the explorer **ant** is to build paths from cities to their nearest regional ...

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... Abstract. In this paper we present a study of an **Ant** **Colony** **System** (ACS) for the two-dimensional strip packing problem. In our computational study, we em- phasize the influence of incorporating an ...

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... The remainder of the paper is organised as follows: Section 2 is devoted to the presentation of the problems and their mathematical models. In Section 3, we describe the applicability of the ACO algorithm for solving SPP ...

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... The **Ant** **Colony** **System** (ACS), is an ACO algorithm introduced by Dorigo and Gambardella ...an **ant** chooses the next travel node, it uses a best-so-far pheromone up- date rule but applies ...

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... from **ant** **colony** algorithms: candidate set size and candidate set ls, as their name suggest, they are the size for the candidate list into the construction phase and the local search phase ...the **ant** ...

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... the **Ant** **Colony** Algorithms well suited for different kinds of scheduling ...improved **Ant** **System** for solving the Job Shop Scheduling (JSS) ...the **Ant** **System** applies a scheduler ...

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... an **Ant** **System** for solv- ing the Multiple Knapsack Problem ...An **Ant** **System** (a distributed algorithm) is a set of agents working independently and cooperating sporadically in a common problem ...

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... a **colony** of artificial ants cooperate in finding good solutions to difficult discrete optimiza- tion ...artificial **ant** in an ACO algorithm is a stochastic constructive proce- dure that incrementally builds ...

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... Respecto al problema de optimización de poligonizaciones de puntos en el plano, estamos utilizando técnicas metaheurísticas basadas en Colonia de Hormigas (**Ant** **Colony** Optimization, ACO) y técnicas Voraces ...

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... trabajo inicial de Dorigo, Maniezzo y Colorni sobre Sistema de Hormigas (**Ant** **System**). Los algoritmos ACO son aptos para resolver problemas de optimizaci´ on discretos y tambi´en continuos. Se basan en una ...

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... Spanish **system** operator, REE, [REE]) characterized by an energy demand of 162500 kW h/year [BOE-A-2013-13803], that corresponds to 50 typical homes in Spain, with 3250 kW h/year each (L 1 ...

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... (**Ant** **Colony** Optimization) of Dorigo ...Multiple **Ant** **Colony** Optimization of Navarro and Sinclair and ANTNET of Dorigo are very useful in that matter ...

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... original **Ant** **System** algorithm, the first ACO algorithm introduced by Dorigo, Maniezzo, and Colorni [13], using the Traveling Salesperson Problem (TSP) as an ...the **Ant** **System** on the MISP with ...

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... Para la resolución de problemas de optimización de Triangulaciones y Pseudo- triangulaciones de Peso Mínimo aplicamos las técnicas metaheurísticas: Optimización basada en Colonia de Hormigas (**Ant** **Colony** ...

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... subject to the aforementioned constraints. In this case, the weights as determined by the param- eter λ represent the risk aversion of the investor. By varying this parameter and running repeatedly, a Pareto efficient ...

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... Para la resolución de problemas de optimización de Triangulaciones y Pseudo- triangulaciones de Peso Mínimo aplicamos las técnicas metaheurísticas: Optimización basada en Colonia de Hormigas (**Ant** **Colony** ...

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... AC **system** [2]. In this paper, we adapt the original AC **system** [4] so it can be used to solve non- ordering problems like the ...AC **system** can solve MKP in an efficient way. In this adapted AC ...

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... In order to solve MKP, it is necessary to adapt the **Ant** **System** in some way. The purpose of the ants in MKP is not to get a tour with minimum cost like in TSP; but they look for a subset of items or projects ...

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... MultiObjective **Ant** Optimization **System** (MOACS) [4], which finds a set of optimal solutions by simultaneously minimizing the maximum link utilization, the cost of the tree, the maximum end-to-end delay and ...

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... In this paper we present a methodology to predict the energy consumption of a **system** of high performance computing, in a cluster, running an application with remote coordinated checkpoints. The methodology starts ...

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