• Title/Summary/Keyword: Genetic Enhancement

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Tracing the origin of fish without hatchery information: genetic management of stock enhancement for mangrove red snapper (Lutjanus argentimaculatus) in Taiwan

  • Hsu, Te-Hua;Huang, Chang-Wen;Lin, Cheng-Hui;Lee, Hung-Tai;Pan, Chieh-Yu
    • Fisheries and Aquatic Sciences
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    • v.23 no.5
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    • pp.13.1-13.7
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    • 2020
  • Stock enhancement is considered to be a valuable approach for restoring fishery resources. Because no specific official institution in Taiwan is responsible for the production of fry, the released fry are purchased directly from the private sector. However, fishermen from the private industry have not established a genetic background, so the genetic composition for each batch of released fry is unclear. Mangrove red snapper (Lutjanus argentimaculatus), a prominent species released in Taiwan, was collected after its official release. One hundred and two field samples were compared with four batches of hatchery fry (n = 685) by using a microsatellite-based multiplex PCR assay. Four of the field samples (3.9%; 4/102) were revealed to be from a fish farm and most likely from a single batch. This study revealed that wild mangrove red snappers are genetically different from those originating from farms, and their origins can be traced through molecular markers, even without information on breeding stocks.

Evaluation of Effective Breeders Number (Ne) for Stock Enhancement in Olive Flounder Paralichthys olivaceus Using Microsatellite DNA Markers (Microsatellite DNA marker를 이용한 넙치, Paralichthys olivaceus 방류종묘의 유효어미수 평가)

  • Jeong Dal-Sang;Kim Kwang-Soo;Kim Kyung-Kil
    • Journal of Aquaculture
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    • v.19 no.3
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    • pp.205-209
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    • 2006
  • Genetic change from broodstock to hatchery stock of the olive flounder Paralichthys olivaceus and effective number of breeders (Ne) were investigated by the different fertilized-egg collecting methods; E1 (eggs collected one day after spawning) and E2 (eggs collected two days after spawning) using seven microsatellite loci (Kop2, Kop22, Kop18, Kop3, Kop21, Kop9 and Kop26) for the better understanding of stock enhancement. Observed heterozygosity in three stocks ranged from 0.651 at Kop3 to 0.928 at Kop22, with offspring being slightly higher heterozygous over their parents. However, the genetic reduction of offspring was significant. The offspring allele number per locus was reduced to 23.5% for E1 and 17.6% for E2 of their maternal number. Ne to the hatchery stock was estimated to be 21.9 for E1 and 34.3 for E2. The inbreeding coefficients of populations El and E2 were 0.023 and 0.015, respectively. The present study suggests the extension of the egg collection period for a recovery of the genetic diversity in artificially produced offspring.

Optimization of Fuzzy Car Controller Using Genetic Algorithm

  • Kim, Bong-Gi;Song, Jin-Kook;Shin, Chang-Doon
    • Journal of information and communication convergence engineering
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    • v.6 no.2
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    • pp.222-227
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    • 2008
  • The important problem in designing a Fuzzy Logic Controller(FLC) is generation of fuzzy control rules and it is usually the case that they are given by human experts of the problem domain. However, it is difficult to find an well-trained expert to any given problem. In this paper, I describes an application of genetic algorithm, a well-known global search algorithm to automatic generation of fuzzy control rules for FLC design. Fuzzy rules are automatically generated by evolving initially given fuzzy rules and membership functions associated fuzzy linguistic terms. Using genetic algorithm efficient fuzzy rules can be generated without any prior knowledge about the domain problem. In addition expert knowledge can be easily incorporated into rule generation for performance enhancement. We experimented genetic algorithm with a non-trivial vehicle controling problem. Our experimental results showed that genetic algorithm is efficient for designing any complex control system and the resulting system is robust.

Comparative genetic diversity of wild and released populations of Pacific abalone Haliotis discus discus in Jeju, Korea, based on cross-species microsatellite markers including two novel loci

  • An, Hye-Suck;Hong, Seong-Wan;Kim, En-Mi;Lee, Jeong-Ho;Noh, Jae-Koo;Kim, Hyun-Chul;Park, Chul-Ji;Min, Byung-Hwa;Myeong, Jeong-In
    • Animal cells and systems
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    • v.14 no.4
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    • pp.305-313
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    • 2010
  • Pacific abalone Haliotis discus discus is an important fisheries resource in Jeju, Korea. For basic information about its current genetic status in relation to stock enhancement, the level and distribution of genetic variation between wild and released stocks of Pacific abalone in Jeju were examined at nine cross-species microsatellite markers including the use of two novel primers. High levels of polymorphism were observed between the two populations. A total of 146 different alleles were found at all loci, with some alleles being unique. The allelic variability ranged from five to 27 in the wild population and from four to 16 in the released sample. The average observed and expected heterozygosities were estimated to be 0.74 and 0.84 in the wild sample and 0.70 and 0.78 in the released sample, respectively. Although a considerable loss of rare alleles was observed in the released sample, no statistically significant reductions were found in heterozygosity or allelic diversity in the released sample compared to the wild population. Low but significant genetic differentiation was found between the wild and released populations. These results suggest that the intensive breeding practices for stock enhancement may have resulted in a further decrease in genetic diversity, and that the cross-species microsatellite markers used in this study represent a potentially efficient means for further genetic studies, providing beneficial information for the protection and management of H. discus discus.

Design of GA-Fuzzy Precompensator of TCSC-PSS for Enhancement of Power System Stability (전력계통 안정도 향상을 위한 TCSC 안정화 장치의 GA-퍼지 전 보상기 설계)

  • Wang Yong-Peel;Chung Mun-Kyu;Chung Hyeng-Hwan
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.54 no.2
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    • pp.51-60
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    • 2005
  • In this paper, we design the GA-fuzzy precompensator of a Power System Stabilizer for Thyristor Controlled Series Capacitor(TCSC-PSS) for enhancement of power system stability. Here a fuzzy precompensator is designed as a fuzzy logic-based precompensation approach for TCSC-PSS. This scheme is easily implemented by adding a fuzzy precompensator to an existing TCSC-PSS. And we optimize the fuzzy precompensator with a genetic algorithm for complements the demerit such as the difficulty of the component selection of fuzzy controller, namely, scaling factor, membership function and control rules. Nonlinear simulation results show that the proposed control technique is superior to conventional TCSC-PSS in dynamic responses over the wide range of operating conditions and in convinced robust and reliable in view of structure.

Design of GA-Fuzzy Precompensator for Enhancement of Pourer System Stability (전력시스템의 안정도 향상을 위한 GA-퍼지 전 보상기 설계)

  • Jeong, Hyeong-Hwan;Jeong, Mun-Gyu;Lee, Jeong-Pil
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.2
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    • pp.83-92
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    • 2002
  • In this paper, we design a GA-fuzzy precompensator for enhancement of power system stability. Here, a fuzzy prerompensator is designed as a fuzzy logic-based precompensation approach for Power System Stabilizer(PSS). This scheme is easily implemented simply by adding a fuzzy precompensator to an existing PSS. And we optimize the fuzzy precompensator with a genetic algorithm for complements the demerit such as the difficulty of the component selection of fuzzy controller, namely, scaling factor, membership function and control rules. Simulation results show that the proposed control technique is superior to a conventional PSS in dynamic responses over the wide range of operating conditions and is convinced robustness and reliableness in view of structure.

Design of TCSC-PSS using Genetic Algorithm for Enhancement of Power System Stability (전력계통의 안정도 향상을 위한 유전알고리즘을 이용한 TCSC 안정화장치 설계)

  • Chung, Mun-Kyu;Chung, Hyeong-Hwan;Hur, Dong-Ryol;Joo, Seok-Min;Chung, Dong-Il
    • Proceedings of the KIEE Conference
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    • 2003.07a
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    • pp.227-229
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    • 2003
  • In this paper, we design a Power System Stabilizer for a Thyristor Controlled Series Capacitor(TCSC-PSS) for enhancement of power system stability. Here, PSS parameters are optimized using Genetic Algorithm(GA) in order to maintain optimal operation of TCSC. Simulation results show that the proposed control technique is superior to a conventional PSS in dynamic responses over the wide range of operating conditions and is convinced robustness and reliableness in view of structure.

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Performance Enhancement of CDMA Cellular System Using Genetic Algorithm (유전 알고리즘을 이용한 CDMA 셀룰러 시스템의 성능 개선)

  • Lee, Young-Dae;Kang, Jeong-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.5
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    • pp.197-203
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    • 2008
  • In this work, we present a novel genetic approach to solve the problem of combining power control and data rate transmission adjustment for the performance enhancement of the next generation CDMA system. We obtained the optimal solution of multi rate and power control problem by compromising slightly on SIR limit values. The proposed algorithm was able to handle many more users with comparable or faster convergent service. While this paper considered two kinds of fitness function such as maximizing the total transmission data rate and maximizing the acceptable mobiles of CDMA cellular network, the evaluation function combining these two cases or others can be also easily implemented. The simulation results showed the effectiveness and validity of our approach.

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A New Perspective to Stable Marriage Problem in Profit Maximization of Matrimonial Websites

  • Bhatnagar, Aniket;Gambhir, Varun;Thakur, Manish Kumar
    • Journal of Information Processing Systems
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    • v.14 no.4
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    • pp.961-979
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    • 2018
  • For many years, matching in a bipartite graph has been widely used in various assignment problems, such as stable marriage problem (SMP). As an application of bipartite matching, the problem of stable marriage is defined over equally sized sets of men and women to identify a stable matching in which each person is assigned a partner of opposite gender according to their preferences. The classical SMP proposed by Gale and Shapley uses preference lists for each individual (men and women) which are infeasible in real world applications for a large populace of men and women such as matrimonial websites. In this paper, we have proposed an enhancement to the SMP by computing a weighted score for the users registered at matrimonial websites. The proposed enhancement has been formulated into profit maximization of matrimonial websites in terms of their ability to provide a suitable match for the users. The proposed formulation to maximize the profits of matrimonial websites leads to a combinatorial optimization problem. We have proposed greedy and genetic algorithm based approaches to solve the proposed optimization problem. We have shown that the proposed genetic algorithm based approaches outperform the existing Gale-Shapley algorithm on the dataset crawled from matrimonial websites.