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Such a haplotype pattern can be explained by an overall large effective (meta) population size in the area together with predominant inbreeding in highly structured populations.
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Two effective meta-heuristic approaches, namely artificial bee colony and tabu search, are proposed.
Imperial Competitive Algorithm has been proved to be an efficient and effective meta-heuristic optimization algorithm and it has been successfully applied in many scientific and engineering problems.
This work proposes an algorithm based on Pareto Ant Colony Optimisation as an effective meta-heuristic method for solving multi-objective supply chain design problems.
Towards this goal, five most effective meta-heuristic optimization approaches such as genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), harmony search (HS) and seeker optimization algorithm (SOA) have been considered.
Shuffled frog leaping algorithm (SFLA) is a population-based novel and effective meta-heuristics computing method, which received increasing focuses from academic and engineering optimization fields in recent years.
In the first year of the project, we built a network of powerful organizations and networks engaged in the work of strategic narrative, and gathered insight from leading scholars into questions that are critical for developing a clear framework for understanding meta-narrative and to develop an effective meta-narrative.
An exact exponential time algorithm and an effective meta-heuristic algorithm for the problem are presented.
We join evolutionary behavioral scientists of all disciplines in calling for effective meta-empirical solutions to addressing both political and empirical controversies.
The aim of this paper is to provide an exact algorithm for the GTSP as well as an effective meta-heuristic algorithm for the problem.
Due to the complexity of the problem, an effective meta-heuristic method hybridized with a local search procedure is presented to solve the problem.
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