Abstract Chemical Reaction Optimization (CRO) is a recently established metaheuristics for
optimization, inspired by the nature of chemical reactions. A chemical reaction is a natural …

The field of natural computing has been the focus of a substantial research effort in recent
decades. One particular strand of this concerns the development of computational …

Optimization problems can generally be classified as continuous and discrete, based on the
nature of the solution space. A recently developed chemical-reaction-inspired metaheuristic …

The 0–1 knapsack problem (KP01) is a well-known combinatorial optimization problem. It is
an NP-hard problem which plays important roles in computing theory and in many real life …

Evolutionary algorithms (EAs) are very popular tools to design and evolve artificial neural
networks (ANNs), especially to train them. These methods have advantages over the …

This paper proposes an effective discrete chemical-reaction optimization (DCRO) algorithm
for solving the flexible job-shop scheduling problems with maintenance activity constraints …

Uncertainty and complexity associated with the stock data make the exact determination of
future prices impossible. Successful prediction of a stock future price requires an efficient …

The underlying system models of time series prediction are complex and not known a priori,
hence, accurate and unbiased estimation cannot be always achieved using well known …

In this study, we present a Pareto-based chemical-reaction optimization (PCRO) algorithm
for solving the multi-area environmental/economic dispatch optimization problems. Two …

In this paper, a hybrid method for optimization is proposed, which combines the two local
search operators in chemical reaction optimization with global search ability of for global …