Multi-objective optimisation is regarded as one of the most promising ways for dealing with constrained optimisation problems in evolutionary optimisation. This paper presents a theoretical investigation of a multi-objective optimisation evolutionary algorithm for solving the 0-1 knapsack problem. Two initialisation methods are considered in the algorithm: local search initialisation and greedy...

Wind farm layout optimisation has become a very challenging and widespread problem in recent years. In many publications, the main goal is to achieve maximum power output minimum wind cost. This may be accomplished by applying single or multi-objective techniques. this paper, we apply objective hill-climbing algorithm (HCA) three evolutionary algorithms (NSGA-II, SPEA2 PESA-II) well-known bench...

Waste glass is inert and non-degradable which leads to enormous environmental sustainability troubles, but it can be reused in concrete due the potential of pozzolanic activity. This study proposes methods on activity excitation waste powder (WGP) including mechanical, chemical, mechanical-chemical activation. The results showed that mortar containing 30% 75 ?m WGP activated by method was optim...

This paper presents a novel method for multi-objective optimisation under uncertainty developed to study range of mission trade-offs, and the impact uncertainties on evaluation launch system designs. A memetic algorithm, named MODHOC, which combines Direct Finite Elements in Time transcription with Multi Agent Collaborative Search, is extended account model uncertainties. An Unscented Transform...