The graph partitioning problem occurs in numerous applications such as circuit placement,
matrix factorization, load balancing, and community detection. For this problem, genetic …

Software modularization techniques are employed to understand a software system. The
purpose of modularization is to decompose a software system from a source code into …

In this paper a new encoding scheme and a software environment, called DAGC, to develop
and evaluate genetic clustering algorithms is described. DAGC facilitates experiments with …

A multi-robot exploration approach is suggested in this paper that works on the premise that
the topo-metric map of the indoor environment is known a priori. Genetic Algorithms (GAs) …

Multi-robot terrain coverage approaches that are based on Voronoi partitioning produce
unbalanced partitions of the workspace resulting in uneven distribution of the workload to …

Minimizing the wirelength plays an important role in physical design automation of very
large‐scale integration (VLSI) chips. The objective of wirelength minimization can be …

Hierarchical reinforcement learning facilitates learning in large and complex domains by
exploiting subtasks and creating hierarchical structures using these subtasks. Subtasks are …

In Optimization of VLSI Physical Design, area minimization and interconnect length
minimization is an important objective in physical design automation of very large scale …

In this paper a software environment, called DAGC, is described. The main idea behind the
design of DAGC is to facilitate research works in design and development of genetic …

For hierarchical, building-block design methodologies, floorplanning is a crucial physical
design stage. As the size of the circuit grows, so does the intricacy of the circuitrises. To deal …