A circular economy approach requires methods of resource management that are
sustainable and efficient. A crucial process in waste management is collection and …

The research work in this paper revolves around the non-productive time optimisation (time
spent by the drilling tool while travelling between holes) of robotic arm for holes drilling …

Making use of the ergodicity and internal randomness of chaos iterations, a novel immune
evolutionary algorithm based on the chaos optimization algorithm and immune evolutionary …

Abstract Artificial Immune Systems (AISs) are computational methods inspired by the
biological immune system and thus classified as a nature-inspired meta-heuristic along with …

The Travelling Salesman Problem or the TSP is a representative of a large class of problems
known as combinatorial optimization problems. In the ordinary form of the TSP, a map of …

The development of evolutionary algorithms for optimization has always been a stimulating
and growing research area with an increasing demand in using them to solve complex …

Conventional genetic operators; mutation, and crossover; are commonly semi-blind because
of their random operation and lack of knowledge about the properties of the problem. In this …

Global container repositioning in liner shipping has always been a challenging problem in
container transportation as the global market in maritime logistics is complex and …

Research in Artificial Immune Systems (AIS) for optimization has attracted attention in recent
years. Exploration and adoption of the inspired immune theories in clonal selection, immune …

In the past decade, fairness in public procurement expert selection has attracted research
attention. This paper proposes an immune evolutionary algorithm (IEA) with a punishment …