Best neighbor-guided artificial bee colony algorithm for continuous optimization problems
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DOI: 10.1007/s00500-018-3473-6
Abstract: As a relatively recent invented swarm intelligence algorithm, artificial bee colony (ABC) becomes popular and is powerful for solving the tough continuous optimization problems. However, the weak exploitation has greatly affected the performance of basic… read more here.
Keywords: continuous optimization; best neighbor; neighbor guided; artificial bee ... See more keywords
A sensitivity analysis method aimed at enhancing the metaheuristics for continuous optimization
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DOI: 10.1007/s10462-017-9553-7
Abstract: An efficient covering of the search space is an important issue when dealing with metaheuristics. Sensitivity analysis methods aim at evaluating the influence of each variable of a problem on a model (i.e. objective function)… read more here.
Keywords: analysis; continuous optimization; sensitivity analysis; analysis method ... See more keywords
Subset selection via continuous optimization with applications to network design
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DOI: 10.1007/s10661-019-7938-6
Abstract: Choosing a subset of representative items from a set of alternatives is an important problem in many scientific fields such as environmental science and statistics. For most practical problems, however, a computationally efficient solution method… read more here.
Keywords: continuous optimization; optimization; subset selection; problem ... See more keywords
Efficient hybrid algorithms to solve mixed discrete-continuous optimization problems: A comparative study
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DOI: 10.1108/ec-03-2017-0103
Abstract: In real-world cases, it is common to encounter mixed discrete-continuous problems where some or all of the variables may take only discrete values. To solve these non-linear optimization problems, the use of finite element methods… read more here.
Keywords: discrete continuous; continuous optimization; mixed discrete; optimization ... See more keywords
Hybrid Nature-Inspired Optimization Algorithm: Hydrozoan and Sea Turtle Foraging Algorithms for Solving Continuous Optimization Problems
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2984023
Abstract: In this paper, we develop a hybrid optimization algorithm inspired by the reproduction processes of hydrozoans and the foraging behavior of sea turtles for solving continuous optimization problems. Our hybrid algorithm combines the exploration capability… read more here.
Keywords: optimization; continuous optimization; optimization algorithm; solving continuous ... See more keywords