Optimization in computationally expensive numerical problems with limited function
evaluations provides computational advantages over constraints based on runtime …

Research in metaheuristics for combinatorial optimization problems has lately experienced
a noteworthy shift towards the hybridization of metaheuristics with other techniques for …

Memetic computation is a paradigm that uses the notion of meme (s) as units of information
encoded in computational representations for the purpose of problem-solving. It covers a …

The combination of components from different algorithms is currently one of the most
successful trends in optimization. The hybridization of metaheuristics such as ant colony …

Networks of unmanned aerial vehicles (UAVs), capable of providing flexible aerial views
over large areas, are playing important roles in today's distributed sensing systems. Since …

Applications of optimization is countless. Every process has a potential to be optimized.
There is no company which is not involved in solving optimization problems. Indeed, many …

There are various mathematical optimization problems that can be effectively solved by
metaheuristic algorithms. The advantage of these algorithms is that they perform iterative …

The University Course Timetabling Problem is an active and complex field with broad
implications at most educational institutions. The current gap between literature and real …

Large number of object trackers based on particle swarm optimization (PSO) and its variants
have been published in the recent decade. However, the majority of algorithms does not …

The Automated Ligand Searcher (ALISE) is designed as an automated computational drug
discovery tool. To approximate the binding free energy of ligands to a receptor, ALISE …