A new multi-phase multi-individual version of the Extremal Optimisation algorithm was devised for dynamic function optimisation. The algorithm was tested on the three standardised benchmark scenarios of the publicly available Moving Peaks (MP) problem and observed to outperform all numerical results of other algorithmic approaches currently available in the literature. Parts of the algorithm were subsequently tested on variations of the scenarios to establish the role of each algorithm component in solving the problem as well as its contribution to the overall result. The reasons for the algorithm's impressive performance on the particular problem instance are discussed and possible limitations to its wider applicability are identified
Dynamic optimization problems have been captivating the interest of the researchers, since most real...
In most existing studies on dynamic multimodal optimization (DMMO), numerical simulations have been ...
Dynamic multi-objective optimization has received increasing attention in recent years. One of strik...
Dynamic function optimisation is an important research area because many real-world problems are inh...
Many practical, real-world applications have dynamic features. If the changes in the fitness functio...
Abstract. Many practical, real-world applications have dynamic features. If the changes in the fitne...
Dynamic optimisation problems are difficult to solve because they involve variables that change over...
Abstract. Solving dynamic combinatorial problems poses a particular challenge to optimisation algori...
Solving dynamic combinatorial problems poses a particular challenge to optimisation algorithms. Opti...
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Extremal Optimisation is a recently conceived addition to the range of stochastic solvers. Due to it...
In traditional optimization problems, problem domain, constraints and problem related data are assum...
In the real world, many applications are non-stationary optimization problems. This requires that th...
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Extremal Optimisation is a recently conceived addition to the range of stochastic solvers. Due to it...
Dynamic optimization problems have been captivating the interest of the researchers, since most real...
In most existing studies on dynamic multimodal optimization (DMMO), numerical simulations have been ...
Dynamic multi-objective optimization has received increasing attention in recent years. One of strik...
Dynamic function optimisation is an important research area because many real-world problems are inh...
Many practical, real-world applications have dynamic features. If the changes in the fitness functio...
Abstract. Many practical, real-world applications have dynamic features. If the changes in the fitne...
Dynamic optimisation problems are difficult to solve because they involve variables that change over...
Abstract. Solving dynamic combinatorial problems poses a particular challenge to optimisation algori...
Solving dynamic combinatorial problems poses a particular challenge to optimisation algorithms. Opti...
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Extremal Optimisation is a recently conceived addition to the range of stochastic solvers. Due to it...
In traditional optimization problems, problem domain, constraints and problem related data are assum...
In the real world, many applications are non-stationary optimization problems. This requires that th...
Many real-world optimisation problems are both dynamic and multi-modal, which require an optimisatio...
Extremal Optimisation is a recently conceived addition to the range of stochastic solvers. Due to it...
Dynamic optimization problems have been captivating the interest of the researchers, since most real...
In most existing studies on dynamic multimodal optimization (DMMO), numerical simulations have been ...
Dynamic multi-objective optimization has received increasing attention in recent years. One of strik...