Road pricing has received increasing attention for traffic congestion mitigation, but traffic
demand uncertainties cause a profound impact on its effectiveness. This study proposes a …

This paper investigates the continuous network design problem (CNDP) and proposes a
simulation-based bi-level model and solution framework based on Bayesian optimization. In …

An application of an adapted Harmony Search (HS) algorithm is proposed in this study in
order to minimize manual warehouses' pickers travel distance. Firstly, the distance matrix …

During the last two decades, Continuous Network Design Problem (CNDP) has received
much more attention because of increasing trend of traffic congestion in road networks. In …

Nature is a great source of inspirations for solving complex computational problems. The
inspirations can come from any source like some theory of physics or chemistry, a …

Teaching‐learning‐based optimization (TLBO) algorithm is a novel heuristic method which
simulates the teaching‐learning phenomenon of a classroom. However, in the later period of …

In this study, a metaheuristic optimization algorithm inspired by a vision correction procedure
is applied to civil engineering problems. The Vision Correction Algorithm (VCA) has the …

This paper proposes a novel approach for generating decision rules to exercise flexibility in
capacity expansion. The proposed approach differs from other decision rule generation …

Abstract The Continuous Network Design Problem (CNDP) is recognized to be one of the
most difficult problems in transportation field since the bilevel formulation of the CNDP is …

The traffic congestion, which has become one of the major problems of developed and
developing countries, has led to a shift in the way public transport systems are viewed, and it …