This paper carries out a detailed review of previous studies that employed metaheuristics to
address problems/issues encountered in the life time of a construction or engineering …

In this paper, we present the existing literature on the human resource allocation problem.
We study the main resolution approaches: exact, heuristic and metaheuristics methods …

High energy consumption of cloud data centers is a matter of great concern. Dynamic
consolidation of Virtual Machines (VMs) presents a significant opportunity to save energy in …

This paper proposes PSACO (particle swarm ant colony optimization) algorithm for highly
non-convex optimization problems. Both particle swarm optimization (PSO) and ant colony …

Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives
to more classical techniques to model environmental systems. We review some of them and …

In cloud computing, an important concern is to allocate the available resources of service
nodes to the requested tasks on demand and to make the objective function optimum, ie …

The multi-objective resource allocation problem (MORAP) addresses the important issue
which seeks to find the expected objectives by allocating the limited amount of resource to …

In this paper, we present a novel multi-objective ant colony system algorithm for virtual
machine (VM) consolidation in cloud data centres. The proposed algorithm builds VM …

Develo** techniques for optimal allocation of limited resources to a set of activities has
received increasing attention in recent years. In this paper, an efficient resource allocation …

The flight delay-based operational aircraft maintenance routing problem (OAMRPFD) and
the maintenance staffing problem (MSP) are interrelated and interdependent. Despite this …