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    Volume 07 || Issue 02 || Version-1 February- 2018
    Paper Id ::
     ..........
    Paper Title :: Ant Lion Optimization Algorithm For Environmental/ Economic Dispatch Problem
    Author Name :: Suharto || Hadi Sugiarto || Ruskardi || Hardiansyah
    Page Number :: 01-06
    :: 10.9790/1813-0702010106   

    This paper presents the use of a recent developed algorithm inspired by the hunting mechanism of antlions in nature, called ant lion optimization (ALO) algorithm for solving combined environmental economic dispatch (CEED) problem in power systems considering valve-point effect and transmission loss. The main objective of the proposed method is the simultaneous minimization of the generation cost and pollutant emission with considering the weigthing factor while satisfying load demand and operational constraints. The performance of the proposed algorithm has been tested on 10-generator system and the results were compared with other methods reported in recent literature. The results show that the proposed algorithm is capable of producing better results.

    Keywords - Economic dispatch, emission dispatch, combined environmental economic dispatch, ant lion optimization, valve-point effect.

    @article{key:article,
    author = {Suharto || Hadi Sugiarto || Ruskardi || Hardiansyah},
    title = {Ant Lion Optimization Algorithm For Environmental/ Economic Dispatch Problem},
    journal = {The International Journal of Engineering and Science},
    year = {2018},
    volume = {07},
    number = {02},
    pages = {01-06},
    month = {February}
    }
    Paper Id ::
     ..........
    Paper Title :: Online Matchmaking Using Collaborative Filtering and Reciprocal Recommender Systems
    Author Name :: o. Otakore || C. Ugwu
    Page Number :: 07-21
    :: 10.9790/1813-0702010721   

    The problem of unstable relationships and late marriages is an issue that continues to plague men and women. Societal values and traditions have caused many to jump into unhealthy unions to avoid shame and disgrace. Online matchmaking sites have seized this opportunity to propose matching techniques to solve the problem. However, the resultant effects are random and bad matches due to over exaggerated and unscientific matching procedures which make users feel rejected thus escalating the problem of men and women in the society. In this research, we present a way of producing optimised matches by studying recommender systems and applying it to matchmaking. Our results indicate that the rate of successful connections can be significantly improved from similarity to reciprocity match. A match based on the reciprocity recommender systems provides the highest matching percentage for most compatible users and lower for users who were not as compatible. Thus streamlining the random matching and producing higher match integrity.

    Keywords - Matchmaking, Recommender systems, Reciprocity, Collaborative filtering.

    @article{key:article,
    author = {o. Otakore || C. Ugwu},
    title = {Online Matchmaking Using Collaborative Filtering and Reciprocal Recommender Systems},
    journal = {The International Journal of Engineering and Science},
    year = {2018},
    volume = {07},
    number = {02},
    pages = {07-21},
    month = {February}
    }