This paper proposes a two-archive algorithm with decomposition and fitness allocation for multi-modal multi-objective optimization problems which have more than one Pareto-optimal solution set corresponding to the same objective vector. The general framework of proposed method uses two archives, convergence archive (CA) diversity (DA), focus on population, respectively. Both archives are based ...

Modeling land allocation for different land uses at regional level is a multi-dimensional problem, as it is influenced by spatial, temporal and dynamics of environmental and socio-economic factors in the complex process of land use change. It is therefore a challenge to develop a proper model that can handle these complexities. In this context, a new model has been conceptualized and developed....

Multi-agent Systems (MAS) offer a conceptual approach to include multi-actor decision making into models of land use change. The main goal is to explore the use of MAS to simulate spatial scenarios based on modelling multi-actor decision-making within a spatial planning process. We demonstrate MAS that consists of agents representing organizations and interest groups involved in an urban alloca...

The paper describes the MOLA Tool, which supports the model transformation language MOLA. MOLA Tool consists of two parts: MOLA definition environment and MOLA execution environment. MOLA definition environment is based on the GMF (Generic Modeling Framework) and contains graphical editors for metamodels and MOLA diagrams, as well as the MOLA compiler. The main component of MOLA execution envir...

Abstract In general redundancy allocation problems the redundancy strategy for each subsystem is predetermined. Tavakkoli- Moghaddam presented a series-parallel redundancy allocation problem with mixing components (RAPMC) in which the redundancy strategy can be chosen for individual subsystems. In this paper, we present a bi-objective redundancy allocation when the redundancy strategies for...