Our main demographic analysis is based on the Generalized Phylogenetic Coalescent Sampler (G-PhoCS) developed by Gronau et al. [1]. G-PhoCS performs demographic inference conditioned on a given population phylogeny augmented by a collection of migration bands (see Fig. S9.1.1). Migration bands describe scenarios of post-divergence gene flow in the demographic model, and are defined by ordered p...

Dynamic Demes is a new method for the parallelisation of evolutionary algorithms. It was derived as a combination of two other parallelisation algorithms: the master-slave distributed fitness evaluation model and the static subpopulation model. In this paper we present the algorithm, perform a theoretical analysis of its performance and present experimental results where we compared Dynamic Dem...

This paper proposes a meta-heuristic Multi-Population Firefly Algorithm (MPFA) for single-modal optimization using two multi-population models, i.e., one is based on the island model while the other on the mainland-island model. The unique characteristics of each sub-population is evolved independently and the diversity of the entire population is effectively increased. Sub-populations communic...

The 0/1 Knapsack Problem is an optimization problem solved using various soft computing methods. The solution to the 0/1 Knapsack Problem (KP) can be viewed as the result of a sequence of decisions. Simple Genetic Algorithm (SGA) effectively solves knapsack problem for large data set. But it has problems like premature convergence and population diversity. Dual Population Genetic Algorithm (DPG...

Metaheuristic algorithms are used to solve NP-hard optimization problems. These algorithms have two main components, i.e. exploration and exploitation, and try to strike a balance between exploration and exploitation to achieve the best possible near-optimal solution. The bat algorithm is one of the metaheuristic algorithms with poor exploration and exploitation. In this paper, exploration and ...

in this paper, matlab code for a recently developed meta-heuristic methodology, the vibrating particles system (vps) algorithm, is presented. the vps is a population-based algorithm which simulates a free vibration of single degree of freedom systems with viscous damping. the particles gradually approach to their equilibrium positions that are achieved from current population and historically b...

Imaging satellite mission planning has received more and attention as one of the core problems in field imaging applications. In this paper, a hybrid discrete artificial bee colony (HDABC) algorithm is proposed to address problem. The HDABC improves three search phases basic (ABC) make them applicable employed phase, population divided multi-strategy equation mechanism used balance exploration ...

Biogeography-based optimization (BBO) algorithm is a new kind of optimization technique based on biogeography concept. This population-based algorithm uses the idea of the migration strategy of animals or other species for solving optimization problems. In this paper, the BBO algorithm is developed for flexible job shop scheduling problem (FJSP). It means that migration operators of BBO are dev...