The Effect of Initial Population Sampling on the Convergence of Multi-Objective Genetic Algorithms

Poles, Silvia; Fu, Yuli; Rigoni, Enrico

doi:10.1007/978-3-540-85646-7_12

Cited by 52 publications

(26 citation statements)

References 9 publications

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“…The initial population was provided by the Sobol [10] method because of its capability of increasing the convergence of multi-objective genetic algorithms [11]. This type of sequence is called quasi-random sequence.…”

Section: Moga-ii Resultsmentioning

confidence: 99%

Genetic optimization for yacht design

Geremia

Poian

Poles

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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This paper introduces a procedure for using genetic multiobjective optimization in yacht design. The problem described consists on the optimization of a bulb shape to improve the performance of the yacht. The two objectives considered are the minimization of the drag in calm water together with the minimization of the Vertical Center of Gravity (VCG), all the configurations should satisfy length and volume constraints. Since there is no a single optimum to be found, the MOGA-II was used as multi-objective genetic algorithm. The optimization of the bulb was obtained employing a parametric model, performing flow analysis and using a multiobjective optimization software. The distributed optimization search exploited the parallelization capabilities of the MOGA-II algorithm which allowed the evaluation of several designs configurations by running concurrent threads of the flow analysis solver.Three bulb shapes of different length are selected between the non-dominated solutions. Using these three solutions, seakeeping tests of a fully appended scale model have been carried out at the towing tank of the University of Trieste. A single hull has been tested for each bulb configurations to check the influence of the bulb shape on the performance of the yacht in waves.The results obtained are very satisfactory, and the procedure described can be applied to even more complex yacht design problems.

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Section: Moga-ii Resultsmentioning

confidence: 99%

Genetic optimization for yacht design

Geremia

Poian

Poles

2007

Proceedings of the 9th Annual Conference on Genetic and Evolutionary Computation

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“…After that, the rest of the population is created by modifying the simplified FC, such that, the initial population is widely spread. That is beneficial to the convergence of MOEAs (Poles et al, 2006;Haubelt et al, 2005). Finally, a MOEA is applied to find a set of widely spread Pareto-optimal FCs.…”

Section: Proposed Hybrid Gfsmentioning

confidence: 99%

“…Commonly the initial population for GFS is created randomly or manually (Setzkorn and Paton, 2005;Ishibuchi et al, 2006;Go´mez-Skarmeta et al, 1998), while better convergence due to reduction of the search space is obtained by adequate initialization (Haubelt et al, 2005;Poles et al, 2006). That can be done, for example, by using DTs or clustering algorithms and transforming DTs or clusters into FCs (Roubos and Setnes, 2001;Abonyi et al, 2003;Pulkkinen and Koivisto, in press).…”

Section: Introductionmentioning

confidence: 97%

Developing a bioaerosol detector using hybrid genetic fuzzy systems

Pulkkinen

Hytönen

Koivisto

2008

Engineering Applications of Artificial Intelligence

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“…Similar to MOGA-II, this optimiser concurrently evaluates the independent individuals. NSGA-II optimiser implements a steady-state evolution scheme that cannot guarantee the repeatability of the design sequences unless the number of concurrent design evaluation is set to 1 (Poles et al 2009). …”

Section: Solution Proceduresmentioning

confidence: 99%

A case analysis of a sustainable food supply chain distribution system—A multi-objective approach

Validi

Bhattacharya

Byrne

2014

International Journal of Production Economics

240

111

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Abstract:Sustainable supply chain management is a topical area which is continuing to grow and evolve. Within supply chains, downstream distribution from producers to customers plays a significant role in the environmental performance of production supply chains. With consumer consciousness growing in the area of sustainable food supply, food distribution needs to embrace and adapt to improve its environmental performance, while still remaining economically competitive. With a particular focus on the dairy industry, a robust solution approach is presented for the design of a capacitated distribution network for a two-layer supply chain involved in the distribution of milk in Ireland. In particular the green multiobjective optimisation model minimises CO2 emissions from transportation and total costs in the distribution chain. These distribution channels are analysed to ensure the non-dominated solutions are distributed along the Pareto fronts. A multi-attribute decision-making approach, TOPSIS, has been used to rank the realistic feasible transportation routes resulting from the trade-offs between total costs and CO 2 emissions. The refined realistic solution space allows the decision-makers to geographically locate the sustainable transportation routes. In addition to geographical mapping the decision maker is also presented with a number of alternative analysed scenarios which forcibly open closed distribution routes to build resiliency into the solution approach. In terms of model performance, three separate GA based optimisers have been evaluated and reported upon. In the case presented NSGA-II was found to outperform its counterparts of MOGA-II and HYBRID.

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The Effect of Initial Population Sampling on the Convergence of Multi-Objective Genetic Algorithms

Cited by 52 publications

References 9 publications

Genetic optimization for yacht design

Genetic optimization for yacht design

Developing a bioaerosol detector using hybrid genetic fuzzy systems

A case analysis of a sustainable food supply chain distribution system—A multi-objective approach

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