Traditional solution methods such as search and sort for optimising complex real life engineering problems can be very expensive in terms of computational time. The considerable execution time tends to inhibit elaborate exploration of the design space and often results to sub-optimal solutions. This paper reports on an engineering optimisation approach designed to bridge the gap between traditi...

This study contributes a stochastic, multi-objective adaptation of the classic environmental economics Lake Problem as a computationally simple but mathematically challenging benchmarking problem. The Lake Problem considers a hypothetical town by a lake, which hopes to maximize its economic benefit without crossing a nonlinear, and potentially irreversible, pollution threshold. Optimization obj...

The objective of this chapter is to present an optimal robust control approach based upon smart multi-objective optimization algorithms for systems with challenging dynamic equations in order to minimize the control inputs and tracking and position error. To this end, an optimal sliding and decoupled sliding mode control technique based on three multi-objective optimization algorithms, that is,...

THE DRP (dial a ride problem) consists on determining and planifiying the operated tours of vehicles in order to satisfy the user’s requests hoping to become origin’s points to destination’s points. The DRP is bind to NPdifficult problems, in order to solve it, many researchers have been used multi objective approached methods; actually our approach consists on reducing the number of vehicles, ...

Oscillations are an intrinsic phenomenon in interconnected power systems, leading to steady-state stability, safety decline, transmission limitation, and electric systems’ ineffective exploitation by developing particularly connecting these systems low-load lines. In addition, they affect the economic performance of systems. this study, PSS2B system stabilizers TCSC compensators used improve st...

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...

In a recent paper by Tang, Reed and Wagener (2006, hereafter referred to as TRW) a comparison assessment was presented of three state-of-the-art evolutionary algorithms for multiobjective calibration of hydrologic models. Through three illustrative case studies, TRW demonstrate that the Strength Pareto Evolutionary Algorithm 2 (SPEA2) and Epsilon Dominance Nondominated Sorted Genetic Algorithm ...

In this paper we investigate whether multi-objective evolution of digital hardware components has advantages over single-objective evolution in terms of convergence and robustness. To that end, we experimentally compare a standard genetic algorithm to several multi-objective optimizers on a set of test problems. The results show that, for more complex test problems, the multi-objective optimize...