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Memetic Salp Swarm Algorithm for economic load dispatch problems. [PDF]

Sci Rep
Awadallah MA, Al-Betar MA, Braik M, Abu Zitar R, Assaleh K, Alkoffash M, Shambour QY.   +6 more
europepmc   +1 more source

Development and validation of the scale of aesthetics and creativity in chess. [PDF]

Front Psychol
Scherbakova A, Engelhard G, Bahar AK.
europepmc   +1 more source

Order fulfillment planning with crowdsourcing integration. [PDF]

Sci Rep
Cao X, Da Z, Wang X.
europepmc   +1 more source

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Meta-heuristic optimization reloaded

2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
We consider the meta-heuristic approach to optimization as to be performed in four stages (model, optimality, algorithm, verification), and point out the potential of varying the optimality stage, in contrary to the design of new algorithms. Thus, we can also apply the meta-heuristic approach to optimization to the task of fair distribution of ...
Mario Koppen, Kaori Yoshida, Kei Ohnishi
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Parameter tuning for meta-heuristics

Knowledge-Based Systems, 2020
Abstract These days meta-heuristic algorithms are gaining lot of popularity. The performance of the meta-heuristics depends upon the suitable selection of user dependent parameters. Finding the most suitable values for the parameters (fine tuning) is a challenging problem.
Susheel Kumar Joshi, Jagdish Chand Bansal   +1 more
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Dynamic Problems and Nature Inspired Meta-Heuristics

2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006
Biological systems are, by their very nature, adaptive. However, the meta-heuristic search algorithms inspired by them have mainly been applied to static problems (i.e., problems that do not change while they are being solved). Recently, a greater body of work has been completed on the newer meta-heuristics, particularly ant colony optimisation ...
Hendtlass, Tim, Moser, I., Randall, Marcus   +2 more
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Meta-heuristic bus transportation algorithm

Iran Journal of Computer Science, 2018
Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
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Meta Heuristic Algorithm

Metaheuristic algorithms represent a key area of optimization research that generates interest for many academicians and researchers in today's technology landscape. Researchers have been using these methods as a problem-solving approach for many decades when applied to combinatorial optimization problems, which has now grown into a significant ...
Arshiya Begum, Asfia Sabahath
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Parallel Strategies for Meta-Heuristics

2006
We present a state-of-the-art survey of parallel meta-heuristic developments and results, discuss general design and implementation principles that apply to most meta-heuristic classes, instantiate these principles for the three meta-heuristic classes currently most extensively used—genetic methods, simulated annealing, and tabu search, and identify a ...
Teodor Gabriel Crainic, Michel Toulouse
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Meta-heuristic local planning

2014
Navigation is a crucial task for mobile robots driving through dynamic environments. Besides the difficulties involved in finding a way from a starting to some goal location, the problem gets more difficult if unknown objects, dynamics of the robotic vehicle and uncertainties from sensor readings have to be taken into account.
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