Combinatorial Optimization Problems and Metaheuristics: Review, Challenges, Design, and Development

In the past few decades, metaheuristics have demonstrated their suitability in addressing complex problems over different domains. This success drives scientific community towards definition of new and better-performing heuristics results an increased interest this research field. Nevertheless, studies been focused on developing algorithms without providing consolidation existing knowledge. Furthermore, absence rigor formalism to classify, design, develop combinatorial optimization represents a challenge field’s progress. study discusses main concepts challenges area proposes code metaheuristics. We believe these contributions may support progress field increase maturity as problem solvers analogous other machine learning algorithms.