Recently, we have four papers accepted by the Genetic and Evolutionary Computation Conference (GECCO) 2024.

The Genetic and Evolutionary Computation Conference (GECCO) presents the latest high-quality results in genetic and evolutionary computation since 1999. Topics include: genetic algorithms, genetic programming, swarm intelligence, complex systems, evolutionary combinatorial optimization and metaheuristics, evolutionary machine learning, learning for evolutionary computation, evolutionary multiobjective optimization, evolutionary numerical optimization, neuroevolution, real world applications, search-based software engineering, theory, benchmarking, reproducibility, hybrids and more.

The four papers are:

1. Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration
2. A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic Segmentation
3. GPU-accelerated Evolutionary Multi-objective Optimization Using Tensorized RVEA
4. Tensorized Ant Colony Optimization for GPU Acceleration