Accurate holiday daily tourist flow forecasting is always the most important issue in tourism
industry. However, it is found that holiday daily tourist flow demonstrates a complex …

This paper surveys strategies applied to avoid premature convergence in Genetic
Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The …

This paper presents a novel bio-inspired optimization algorithm called Coronavirus
Optimization Algorithm (COVIDOA). COVIDOA is an evolutionary search strategy that mimics …

Evolutionary algorithms (EAs) are well-known optimization approaches to deal with
nonlinear and complex problems. However, these population-based algorithms are …

This paper improves the performance of the recently-proposed Whale Optimization
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …

Population initialization is a crucial task in evolutionary algorithms because it can affect the
convergence speed and also the quality of the final solution. If no information about the …

We propose a novel variation to biogeography-based optimization (BBO), which is an
evolutionary algorithm (EA) developed for global optimization. The new algorithm employs …

For many soft computing methods, we need to generate random numbers to use either as
initial estimates or during the learning and search process. Recently, results for evolutionary …

Computer simulation often is used to study complex physical and engineering processes.
Although a computer simulator often can be viewed as an inexpensive way to gain insight …

Structural bias is a recently identified property of optimisation algorithms, causing them to
favour certain regions of the search space over others, independently of the objective …