The Coati Optimization Algorithm (COA) has emerged as a prominent evolutionary algorithm renowned for its efficacy in addressing real-world problems. Its wide-ranging applicability across diverse domains is testament to exceptional performance and versatility. Compared other algorithms, COA been proven possess excellent global local search capabilities. This paper introduces novel self-organizi...

Optimization techniques keep road performance at a good level using cost-effective maintenance strategy. Thus, the trade-off between cost and is multi-objective function. This paper offers new stochastic algorithm for discrete variables, which called integer search (ISA). applied to an optimal pavement management system (PMMS), where variables are discrete. The PMMS optimization can be achieved...

The multi-objective optimization (MOO) of complex systems remains a challenging task in engineering domains. methodological approach applying MOO algorithms to simulation-enabled models has established itself as standard. Despite increasing computational power, the effectiveness and efficiency such algorithms, i.e., their ability identify many Pareto-optimal solutions possible with few simulati...

Convergence and diversity are two performance requirements that should be paid attention to in evolutionary algorithms. Most multiobjective algorithms (MOEAs) try their best maintain a balance between the aspects, which poses challenge convergence of MOEAs early process. In this paper, many-objective optimization algorithm based on staged coordination selection, consists stages, is proposed sta...

Carpooling has gained considerable importance as an effective solution for reducing pollution, mitigation of traffic and congestion on the roads, reduced demand parking facilities, lesser energy fuel consumption most importantly, reduction in carbon emission, thus improving quality life cities. This work presents a hybrid GA-A* algorithm to obtain optimal routes carpooling problem domain multio...